diff --git a/.mega-linter.yml b/.mega-linter.yml
index b0b5ddb30..55b77c41d 100644
--- a/.mega-linter.yml
+++ b/.mega-linter.yml
@@ -3,7 +3,7 @@
EXTENDS: https://raw.githubusercontent.com/lars-reimann/.github/main/.mega-linter.yml
# Config
-FILTER_REGEX_EXCLUDE: (\.github/workflows/|tests/resources/|mkdocs.yml)
+FILTER_REGEX_EXCLUDE: (\.github/workflows/|docs/src/overrides/|tests/resources/|mkdocs.yml)
# Workaround to also run prettier on other supported file types. We deactivate it for Markdown compared to the extended
# configuration since it breaks admonitions of Material for MkDocs.
diff --git a/docs/api/safeds/data/image/containers/Image.md b/docs/api/safeds/data/image/containers/Image.md
index 62da1143c..694b14c82 100644
--- a/docs/api/safeds/data/image/containers/Image.md
+++ b/docs/api/safeds/data/image/containers/Image.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds abstract class` Image {#safeds.data.image.containers.Image data-toc-label='Image'}
+# :test_tube:{ title="Experimental" } `Image` {#safeds.data.image.containers.Image data-toc-label='[class] Image'}
A container for image data.
@@ -423,7 +423,7 @@ pipeline example {
}
```
-## `#!sds attr` channel {#safeds.data.image.containers.Image.channel data-toc-label='channel'}
+## `channel` {#safeds.data.image.containers.Image.channel data-toc-label='[attribute] channel'}
Get the number of channels of the image.
@@ -437,7 +437,7 @@ pipeline example {
}
```
-## `#!sds attr` height {#safeds.data.image.containers.Image.height data-toc-label='height'}
+## `height` {#safeds.data.image.containers.Image.height data-toc-label='[attribute] height'}
Get the height of the image in pixels.
@@ -451,13 +451,13 @@ pipeline example {
}
```
-## `#!sds attr` size {#safeds.data.image.containers.Image.size data-toc-label='size'}
+## `size` {#safeds.data.image.containers.Image.size data-toc-label='[attribute] size'}
Get the `ImageSize` of the image.
**Type:** [`ImageSize`][safeds.data.image.typing.ImageSize]
-## `#!sds attr` width {#safeds.data.image.containers.Image.width data-toc-label='width'}
+## `width` {#safeds.data.image.containers.Image.width data-toc-label='[attribute] width'}
Get the width of the image in pixels.
@@ -471,7 +471,7 @@ pipeline example {
}
```
-## `#!sds fun` addNoise {#safeds.data.image.containers.Image.addNoise data-toc-label='addNoise'}
+## `addNoise` {#safeds.data.image.containers.Image.addNoise data-toc-label='[function] addNoise'}
Return a new `Image` with noise added to the image.
@@ -509,7 +509,7 @@ pipeline example {
}
```
-## `#!sds fun` adjustBrightness {#safeds.data.image.containers.Image.adjustBrightness data-toc-label='adjustBrightness'}
+## `adjustBrightness` {#safeds.data.image.containers.Image.adjustBrightness data-toc-label='[function] adjustBrightness'}
Return a new `Image` with an adjusted brightness.
@@ -547,7 +547,7 @@ pipeline example {
}
```
-## `#!sds fun` adjustColorBalance {#safeds.data.image.containers.Image.adjustColorBalance data-toc-label='adjustColorBalance'}
+## `adjustColorBalance` {#safeds.data.image.containers.Image.adjustColorBalance data-toc-label='[function] adjustColorBalance'}
Return a new `Image` with adjusted color balance.
@@ -585,7 +585,7 @@ pipeline example {
}
```
-## `#!sds fun` adjustContrast {#safeds.data.image.containers.Image.adjustContrast data-toc-label='adjustContrast'}
+## `adjustContrast` {#safeds.data.image.containers.Image.adjustContrast data-toc-label='[function] adjustContrast'}
Return a new `Image` with adjusted contrast.
@@ -623,7 +623,7 @@ pipeline example {
}
```
-## `#!sds fun` blur {#safeds.data.image.containers.Image.blur data-toc-label='blur'}
+## `blur` {#safeds.data.image.containers.Image.blur data-toc-label='[function] blur'}
Return a blurred version of the image.
@@ -660,7 +660,7 @@ pipeline example {
}
```
-## `#!sds fun` changeChannel {#safeds.data.image.containers.Image.changeChannel data-toc-label='changeChannel'}
+## `changeChannel` {#safeds.data.image.containers.Image.changeChannel data-toc-label='[function] changeChannel'}
Return a new `Image` that has the given number of channels.
@@ -688,7 +688,7 @@ The original image is not modified.
) -> result1: Image
```
-## `#!sds fun` convertToGrayscale {#safeds.data.image.containers.Image.convertToGrayscale data-toc-label='convertToGrayscale'}
+## `convertToGrayscale` {#safeds.data.image.containers.Image.convertToGrayscale data-toc-label='[function] convertToGrayscale'}
Return a new `Image` that is converted to grayscale.
@@ -716,7 +716,7 @@ pipeline example {
fun convertToGrayscale() -> result1: Image
```
-## `#!sds fun` crop {#safeds.data.image.containers.Image.crop data-toc-label='crop'}
+## `crop` {#safeds.data.image.containers.Image.crop data-toc-label='[function] crop'}
Return a new `Image` that has been cropped to a given bounding rectangle.
@@ -762,7 +762,7 @@ pipeline example {
}
```
-## `#!sds fun` findEdges {#safeds.data.image.containers.Image.findEdges data-toc-label='findEdges'}
+## `findEdges` {#safeds.data.image.containers.Image.findEdges data-toc-label='[function] findEdges'}
Return a grayscale version of the image with the edges highlighted.
@@ -790,7 +790,7 @@ pipeline example {
fun findEdges() -> result1: Image
```
-## `#!sds fun` flipHorizontally {#safeds.data.image.containers.Image.flipHorizontally data-toc-label='flipHorizontally'}
+## `flipHorizontally` {#safeds.data.image.containers.Image.flipHorizontally data-toc-label='[function] flipHorizontally'}
Return a new `Image` that is flipped horizontally (vertical axis, flips left-right and vice versa).
@@ -818,7 +818,7 @@ pipeline example {
fun flipHorizontally() -> result1: Image
```
-## `#!sds fun` flipVertically {#safeds.data.image.containers.Image.flipVertically data-toc-label='flipVertically'}
+## `flipVertically` {#safeds.data.image.containers.Image.flipVertically data-toc-label='[function] flipVertically'}
Return a new `Image` that is flipped vertically (horizontal axis, flips up-down and vice versa).
@@ -846,7 +846,7 @@ pipeline example {
fun flipVertically() -> result1: Image
```
-## `#!sds fun` invertColors {#safeds.data.image.containers.Image.invertColors data-toc-label='invertColors'}
+## `invertColors` {#safeds.data.image.containers.Image.invertColors data-toc-label='[function] invertColors'}
Return a new `Image` with colors inverted.
@@ -874,7 +874,7 @@ pipeline example {
fun invertColors() -> result1: Image
```
-## `#!sds fun` resize {#safeds.data.image.containers.Image.resize data-toc-label='resize'}
+## `resize` {#safeds.data.image.containers.Image.resize data-toc-label='[function] resize'}
Return a new `Image` that has been resized to a given size.
@@ -914,7 +914,7 @@ pipeline example {
}
```
-## `#!sds fun` rotateLeft {#safeds.data.image.containers.Image.rotateLeft data-toc-label='rotateLeft'}
+## `rotateLeft` {#safeds.data.image.containers.Image.rotateLeft data-toc-label='[function] rotateLeft'}
Return a new `Image` that is rotated 90 degrees counter-clockwise.
@@ -942,7 +942,7 @@ pipeline example {
fun rotateLeft() -> result1: Image
```
-## `#!sds fun` rotateRight {#safeds.data.image.containers.Image.rotateRight data-toc-label='rotateRight'}
+## `rotateRight` {#safeds.data.image.containers.Image.rotateRight data-toc-label='[function] rotateRight'}
Return a new `Image` that is rotated 90 degrees clockwise.
@@ -970,7 +970,7 @@ pipeline example {
fun rotateRight() -> result1: Image
```
-## `#!sds fun` sharpen {#safeds.data.image.containers.Image.sharpen data-toc-label='sharpen'}
+## `sharpen` {#safeds.data.image.containers.Image.sharpen data-toc-label='[function] sharpen'}
Return a sharpened version of the image.
@@ -1007,7 +1007,7 @@ pipeline example {
}
```
-## `#!sds fun` toJpegFile {#safeds.data.image.containers.Image.toJpegFile data-toc-label='toJpegFile'}
+## `toJpegFile` {#safeds.data.image.containers.Image.toJpegFile data-toc-label='[function] toJpegFile'}
Save the image as a JPEG file.
@@ -1035,7 +1035,7 @@ pipeline example {
)
```
-## `#!sds fun` toPngFile {#safeds.data.image.containers.Image.toPngFile data-toc-label='toPngFile'}
+## `toPngFile` {#safeds.data.image.containers.Image.toPngFile data-toc-label='[function] toPngFile'}
Save the image as a PNG file.
@@ -1063,7 +1063,7 @@ pipeline example {
)
```
-## `#!sds static fun` fromFile {#safeds.data.image.containers.Image.fromFile data-toc-label='fromFile'}
+## `fromFile` {#safeds.data.image.containers.Image.fromFile data-toc-label='[static-function] fromFile'}
Create an image from a file.
diff --git a/docs/api/safeds/data/image/containers/ImageList.md b/docs/api/safeds/data/image/containers/ImageList.md
index 8e408c1d4..8b705ad2b 100644
--- a/docs/api/safeds/data/image/containers/ImageList.md
+++ b/docs/api/safeds/data/image/containers/ImageList.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds abstract class` ImageList {#safeds.data.image.containers.ImageList data-toc-label='ImageList'}
+# :test_tube:{ title="Experimental" } `ImageList` {#safeds.data.image.containers.ImageList data-toc-label='[class] ImageList'}
An ImageList is a list of different images. It can hold different sizes of Images. The channel of all images is the same.
@@ -513,43 +513,43 @@ To create an `ImageList` call one of the following static methods:
}
```
-## `#!sds attr` channel {#safeds.data.image.containers.ImageList.channel data-toc-label='channel'}
+## `channel` {#safeds.data.image.containers.ImageList.channel data-toc-label='[attribute] channel'}
Return the channel of all images.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds attr` heights {#safeds.data.image.containers.ImageList.heights data-toc-label='heights'}
+## `heights` {#safeds.data.image.containers.ImageList.heights data-toc-label='[attribute] heights'}
Return a list of all heights in this image list.
**Type:** [`List`][safeds.lang.List]
-## `#!sds attr` imageCount {#safeds.data.image.containers.ImageList.imageCount data-toc-label='imageCount'}
+## `imageCount` {#safeds.data.image.containers.ImageList.imageCount data-toc-label='[attribute] imageCount'}
Return the number of images in this image list.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds attr` sizeCount {#safeds.data.image.containers.ImageList.sizeCount data-toc-label='sizeCount'}
+## `sizeCount` {#safeds.data.image.containers.ImageList.sizeCount data-toc-label='[attribute] sizeCount'}
Return the number of different sizes of images in this image list.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds attr` sizes {#safeds.data.image.containers.ImageList.sizes data-toc-label='sizes'}
+## `sizes` {#safeds.data.image.containers.ImageList.sizes data-toc-label='[attribute] sizes'}
Return the sizes of all images.
**Type:** [`List`][safeds.lang.List]
-## `#!sds attr` widths {#safeds.data.image.containers.ImageList.widths data-toc-label='widths'}
+## `widths` {#safeds.data.image.containers.ImageList.widths data-toc-label='[attribute] widths'}
Return a list of all widths in this image list.
**Type:** [`List`][safeds.lang.List]
-## `#!sds fun` addImage {#safeds.data.image.containers.ImageList.addImage data-toc-label='addImage'}
+## `addImage` {#safeds.data.image.containers.ImageList.addImage data-toc-label='[function] addImage'}
Return a new `ImageList` with the given image added to the image list.
@@ -577,7 +577,7 @@ The original image list is not modified.
) -> imageList: ImageList
```
-## `#!sds fun` addImages {#safeds.data.image.containers.ImageList.addImages data-toc-label='addImages'}
+## `addImages` {#safeds.data.image.containers.ImageList.addImages data-toc-label='[function] addImages'}
Return a new `ImageList` with the given images added to the image list.
@@ -605,7 +605,7 @@ The original image list is not modified.
) -> imageList: ImageList
```
-## `#!sds fun` addNoise {#safeds.data.image.containers.ImageList.addNoise data-toc-label='addNoise'}
+## `addNoise` {#safeds.data.image.containers.ImageList.addNoise data-toc-label='[function] addNoise'}
Return a new `ImageList` with noise added to all images.
@@ -635,7 +635,7 @@ The original image list is not modified.
}
```
-## `#!sds fun` adjustBrightness {#safeds.data.image.containers.ImageList.adjustBrightness data-toc-label='adjustBrightness'}
+## `adjustBrightness` {#safeds.data.image.containers.ImageList.adjustBrightness data-toc-label='[function] adjustBrightness'}
Return a new `ImageList` where all images have the adjusted brightness.
@@ -665,7 +665,7 @@ The original image list is not modified.
}
```
-## `#!sds fun` adjustColorBalance {#safeds.data.image.containers.ImageList.adjustColorBalance data-toc-label='adjustColorBalance'}
+## `adjustColorBalance` {#safeds.data.image.containers.ImageList.adjustColorBalance data-toc-label='[function] adjustColorBalance'}
Return a new `ImageList` where all images have the adjusted color balance.
@@ -695,7 +695,7 @@ The original image list is not modified.
}
```
-## `#!sds fun` adjustContrast {#safeds.data.image.containers.ImageList.adjustContrast data-toc-label='adjustContrast'}
+## `adjustContrast` {#safeds.data.image.containers.ImageList.adjustContrast data-toc-label='[function] adjustContrast'}
Return a new `ImageList` where all images have the adjusted contrast.
@@ -725,7 +725,7 @@ The original image list is not modified.
}
```
-## `#!sds fun` blur {#safeds.data.image.containers.ImageList.blur data-toc-label='blur'}
+## `blur` {#safeds.data.image.containers.ImageList.blur data-toc-label='[function] blur'}
Return a new `ImageList` where all images have been blurred.
@@ -754,7 +754,7 @@ The original image list is not modified.
}
```
-## `#!sds fun` changeChannel {#safeds.data.image.containers.ImageList.changeChannel data-toc-label='changeChannel'}
+## `changeChannel` {#safeds.data.image.containers.ImageList.changeChannel data-toc-label='[function] changeChannel'}
Return a new `ImageList` that has the given number of channels.
@@ -782,7 +782,7 @@ The original image list is not modified.
) -> imageList: ImageList
```
-## `#!sds fun` convertToGrayscale {#safeds.data.image.containers.ImageList.convertToGrayscale data-toc-label='convertToGrayscale'}
+## `convertToGrayscale` {#safeds.data.image.containers.ImageList.convertToGrayscale data-toc-label='[function] convertToGrayscale'}
Return a new `ImageList` with all images converted to grayscale.
@@ -802,7 +802,7 @@ The original image list is not modified.
fun convertToGrayscale() -> imageList: ImageList
```
-## `#!sds fun` crop {#safeds.data.image.containers.ImageList.crop data-toc-label='crop'}
+## `crop` {#safeds.data.image.containers.ImageList.crop data-toc-label='[function] crop'}
Return a new `ImageList` with all images cropped to a given bounding rectangle.
@@ -840,7 +840,7 @@ The original image list is not modified.
}
```
-## `#!sds fun` findEdges {#safeds.data.image.containers.ImageList.findEdges data-toc-label='findEdges'}
+## `findEdges` {#safeds.data.image.containers.ImageList.findEdges data-toc-label='[function] findEdges'}
Return a new `ImageList` with grayscale versions of the images with the edges highlighted.
@@ -860,7 +860,7 @@ The original image list is not modified.
fun findEdges() -> imageList: ImageList
```
-## `#!sds fun` flipHorizontally {#safeds.data.image.containers.ImageList.flipHorizontally data-toc-label='flipHorizontally'}
+## `flipHorizontally` {#safeds.data.image.containers.ImageList.flipHorizontally data-toc-label='[function] flipHorizontally'}
Return a new `ImageList` with all images flipped horizontally (vertical axis, flips left-right and vice versa).
@@ -880,7 +880,7 @@ The original image list is not modified.
fun flipHorizontally() -> imageList: ImageList
```
-## `#!sds fun` flipVertically {#safeds.data.image.containers.ImageList.flipVertically data-toc-label='flipVertically'}
+## `flipVertically` {#safeds.data.image.containers.ImageList.flipVertically data-toc-label='[function] flipVertically'}
Return a new `ImageList` with all images flipped vertically (horizontal axis, flips up-down and vice versa).
@@ -900,7 +900,7 @@ The original image list is not modified.
fun flipVertically() -> imageList: ImageList
```
-## `#!sds fun` getImage {#safeds.data.image.containers.ImageList.getImage data-toc-label='getImage'}
+## `getImage` {#safeds.data.image.containers.ImageList.getImage data-toc-label='[function] getImage'}
Return the image at the given index.
@@ -926,7 +926,7 @@ Return the image at the given index.
) -> image: Image
```
-## `#!sds fun` hasImage {#safeds.data.image.containers.ImageList.hasImage data-toc-label='hasImage'}
+## `hasImage` {#safeds.data.image.containers.ImageList.hasImage data-toc-label='[function] hasImage'}
Return whether the given image is in this image list.
@@ -952,7 +952,7 @@ Return whether the given image is in this image list.
) -> hasImage: Boolean
```
-## `#!sds fun` index {#safeds.data.image.containers.ImageList.index data-toc-label='index'}
+## `index` {#safeds.data.image.containers.ImageList.index data-toc-label='[function] index'}
Return a list of indexes of the given image.
@@ -979,7 +979,7 @@ If the image has multiple occurrences, all indices will be returned
) -> indices: List
```
-## `#!sds fun` invertColors {#safeds.data.image.containers.ImageList.invertColors data-toc-label='invertColors'}
+## `invertColors` {#safeds.data.image.containers.ImageList.invertColors data-toc-label='[function] invertColors'}
Return a new `ImageList` where all images have their colors inverted.
@@ -999,7 +999,7 @@ The original image list is not modified.
fun invertColors() -> imageList: ImageList
```
-## `#!sds fun` removeDuplicateImages {#safeds.data.image.containers.ImageList.removeDuplicateImages data-toc-label='removeDuplicateImages'}
+## `removeDuplicateImages` {#safeds.data.image.containers.ImageList.removeDuplicateImages data-toc-label='[function] removeDuplicateImages'}
Return a new `ImageList` with all duplicate images removed.
@@ -1021,7 +1021,7 @@ The original image list is not modified.
fun removeDuplicateImages() -> imageList: ImageList
```
-## `#!sds fun` removeImage {#safeds.data.image.containers.ImageList.removeImage data-toc-label='removeImage'}
+## `removeImage` {#safeds.data.image.containers.ImageList.removeImage data-toc-label='[function] removeImage'}
Return a new `ImageList` with the given image removed from the image list.
@@ -1051,7 +1051,7 @@ The original image list is not modified.
) -> imageList: ImageList
```
-## `#!sds fun` removeImageByIndex {#safeds.data.image.containers.ImageList.removeImageByIndex data-toc-label='removeImageByIndex'}
+## `removeImageByIndex` {#safeds.data.image.containers.ImageList.removeImageByIndex data-toc-label='[function] removeImageByIndex'}
Return a new `ImageList` with the given indices removed from the image list.
@@ -1079,7 +1079,7 @@ The original image list is not modified.
) -> imageList: ImageList
```
-## `#!sds fun` removeImages {#safeds.data.image.containers.ImageList.removeImages data-toc-label='removeImages'}
+## `removeImages` {#safeds.data.image.containers.ImageList.removeImages data-toc-label='[function] removeImages'}
Return a new `ImageList` with the given images removed from the image list.
@@ -1109,7 +1109,7 @@ The original image list is not modified.
) -> imageList: ImageList
```
-## `#!sds fun` removeImagesWithSize {#safeds.data.image.containers.ImageList.removeImagesWithSize data-toc-label='removeImagesWithSize'}
+## `removeImagesWithSize` {#safeds.data.image.containers.ImageList.removeImagesWithSize data-toc-label='[function] removeImagesWithSize'}
Return a new `ImageList` with the all images of the given size removed.
@@ -1139,7 +1139,7 @@ The original image list is not modified.
) -> imageList: ImageList
```
-## `#!sds fun` resize {#safeds.data.image.containers.ImageList.resize data-toc-label='resize'}
+## `resize` {#safeds.data.image.containers.ImageList.resize data-toc-label='[function] resize'}
Return a new `ImageList` with all images resized to a given size.
@@ -1171,7 +1171,7 @@ The original image list is not modified.
}
```
-## `#!sds fun` rotateLeft {#safeds.data.image.containers.ImageList.rotateLeft data-toc-label='rotateLeft'}
+## `rotateLeft` {#safeds.data.image.containers.ImageList.rotateLeft data-toc-label='[function] rotateLeft'}
Return a new `ImageList` where all images have been rotated 90 degrees counter-clockwise.
@@ -1191,7 +1191,7 @@ The original image list is not modified.
fun rotateLeft() -> imageList: ImageList
```
-## `#!sds fun` rotateRight {#safeds.data.image.containers.ImageList.rotateRight data-toc-label='rotateRight'}
+## `rotateRight` {#safeds.data.image.containers.ImageList.rotateRight data-toc-label='[function] rotateRight'}
Return a new `ImageList` where all images have been rotated 90 degrees clockwise.
@@ -1211,7 +1211,7 @@ The original image list is not modified.
fun rotateRight() -> imageList: ImageList
```
-## `#!sds fun` sharpen {#safeds.data.image.containers.ImageList.sharpen data-toc-label='sharpen'}
+## `sharpen` {#safeds.data.image.containers.ImageList.sharpen data-toc-label='[function] sharpen'}
Return a new `ImageList` where all images have been sharpened.
@@ -1240,7 +1240,7 @@ The original image list is not modified.
}
```
-## `#!sds fun` shuffleImages {#safeds.data.image.containers.ImageList.shuffleImages data-toc-label='shuffleImages'}
+## `shuffleImages` {#safeds.data.image.containers.ImageList.shuffleImages data-toc-label='[function] shuffleImages'}
Return a new `ImageList` with all images shuffled.
@@ -1260,7 +1260,7 @@ The original image list is not modified.
fun shuffleImages() -> imageList: ImageList
```
-## `#!sds fun` toImages {#safeds.data.image.containers.ImageList.toImages data-toc-label='toImages'}
+## `toImages` {#safeds.data.image.containers.ImageList.toImages data-toc-label='[function] toImages'}
Return a list of all images in this image list.
@@ -1286,7 +1286,7 @@ Return a list of all images in this image list.
) -> images: List
```
-## `#!sds fun` toJpegFiles {#safeds.data.image.containers.ImageList.toJpegFiles data-toc-label='toJpegFiles'}
+## `toJpegFiles` {#safeds.data.image.containers.ImageList.toJpegFiles data-toc-label='[function] toJpegFiles'}
Save all images as jpeg files.
@@ -1306,7 +1306,7 @@ Save all images as jpeg files.
)
```
-## `#!sds fun` toPngFiles {#safeds.data.image.containers.ImageList.toPngFiles data-toc-label='toPngFiles'}
+## `toPngFiles` {#safeds.data.image.containers.ImageList.toPngFiles data-toc-label='[function] toPngFiles'}
Save all images as png files.
@@ -1326,7 +1326,7 @@ Save all images as png files.
)
```
-## `#!sds static fun` fromFiles {#safeds.data.image.containers.ImageList.fromFiles data-toc-label='fromFiles'}
+## `fromFiles` {#safeds.data.image.containers.ImageList.fromFiles data-toc-label='[static-function] fromFiles'}
Create an ImageList from a directory or a list of files.
@@ -1354,7 +1354,7 @@ If you provide a path to a directory the images will be sorted alphabetically wh
) -> imageList: ImageList
```
-## `#!sds static fun` fromImages {#safeds.data.image.containers.ImageList.fromImages data-toc-label='fromImages'}
+## `fromImages` {#safeds.data.image.containers.ImageList.fromImages data-toc-label='[static-function] fromImages'}
Create an ImageList from a list of images.
diff --git a/docs/api/safeds/data/image/typing/ImageSize.md b/docs/api/safeds/data/image/typing/ImageSize.md
index b25873dd9..66d1da467 100644
--- a/docs/api/safeds/data/image/typing/ImageSize.md
+++ b/docs/api/safeds/data/image/typing/ImageSize.md
@@ -1,4 +1,4 @@
-# `#!sds class` ImageSize {#safeds.data.image.typing.ImageSize data-toc-label='ImageSize'}
+# `ImageSize` {#safeds.data.image.typing.ImageSize data-toc-label='[class] ImageSize'}
A container for image size data.
@@ -48,25 +48,25 @@ A container for image size data.
}
```
-## `#!sds attr` channel {#safeds.data.image.typing.ImageSize.channel data-toc-label='channel'}
+## `channel` {#safeds.data.image.typing.ImageSize.channel data-toc-label='[attribute] channel'}
Get the channel of this `ImageSize` in pixels.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds attr` height {#safeds.data.image.typing.ImageSize.height data-toc-label='height'}
+## `height` {#safeds.data.image.typing.ImageSize.height data-toc-label='[attribute] height'}
Get the height of this `ImageSize` in pixels.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds attr` width {#safeds.data.image.typing.ImageSize.width data-toc-label='width'}
+## `width` {#safeds.data.image.typing.ImageSize.width data-toc-label='[attribute] width'}
Get the width of this `ImageSize` in pixels.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds static fun` fromImage {#safeds.data.image.typing.ImageSize.fromImage data-toc-label='fromImage'}
+## `fromImage` {#safeds.data.image.typing.ImageSize.fromImage data-toc-label='[static-function] fromImage'}
Create a `ImageSize` of a given image.
diff --git a/docs/api/safeds/data/labeled/containers/Dataset.md b/docs/api/safeds/data/labeled/containers/Dataset.md
index 6c5f90e36..a0465a92d 100644
--- a/docs/api/safeds/data/labeled/containers/Dataset.md
+++ b/docs/api/safeds/data/labeled/containers/Dataset.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` Dataset {#safeds.data.labeled.containers.Dataset data-toc-label='Dataset'}
+# `Dataset` {#safeds.data.labeled.containers.Dataset data-toc-label='[class] Dataset'}
A dataset is used as input to machine learning models.
diff --git a/docs/api/safeds/data/labeled/containers/ImageDataset.md b/docs/api/safeds/data/labeled/containers/ImageDataset.md
index 3499f85dd..d2ca754d7 100644
--- a/docs/api/safeds/data/labeled/containers/ImageDataset.md
+++ b/docs/api/safeds/data/labeled/containers/ImageDataset.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` ImageDataset {#safeds.data.labeled.containers.ImageDataset data-toc-label='ImageDataset'}
+# :test_tube:{ title="Experimental" } `ImageDataset` {#safeds.data.labeled.containers.ImageDataset data-toc-label='[class] ImageDataset'}
A Dataset for ImageLists as input and ImageLists, Tables or Columns as output.
@@ -67,19 +67,19 @@ A Dataset for ImageLists as input and ImageLists, Tables or Columns as output.
}
```
-## `#!sds attr` inputSize {#safeds.data.labeled.containers.ImageDataset.inputSize data-toc-label='inputSize'}
+## `inputSize` {#safeds.data.labeled.containers.ImageDataset.inputSize data-toc-label='[attribute] inputSize'}
Get the input `ImageSize` of this dataset.
**Type:** [`ImageSize`][safeds.data.image.typing.ImageSize]
-## `#!sds attr` outputSize {#safeds.data.labeled.containers.ImageDataset.outputSize data-toc-label='outputSize'}
+## `outputSize` {#safeds.data.labeled.containers.ImageDataset.outputSize data-toc-label='[attribute] outputSize'}
Get the output size of this dataset.
**Type:** [`ImageSize`][safeds.data.image.typing.ImageSize]
-## `#!sds fun` getInput {#safeds.data.labeled.containers.ImageDataset.getInput data-toc-label='getInput'}
+## `getInput` {#safeds.data.labeled.containers.ImageDataset.getInput data-toc-label='[function] getInput'}
Get the input data of this dataset.
@@ -97,7 +97,7 @@ Get the input data of this dataset.
fun getInput() -> input: ImageList
```
-## `#!sds fun` getOutput {#safeds.data.labeled.containers.ImageDataset.getOutput data-toc-label='getOutput'}
+## `getOutput` {#safeds.data.labeled.containers.ImageDataset.getOutput data-toc-label='[function] getOutput'}
Get the output data of this dataset.
@@ -115,7 +115,7 @@ Get the output data of this dataset.
fun getOutput() -> output: T
```
-## `#!sds fun` shuffle {#safeds.data.labeled.containers.ImageDataset.shuffle data-toc-label='shuffle'}
+## `shuffle` {#safeds.data.labeled.containers.ImageDataset.shuffle data-toc-label='[function] shuffle'}
Return a new `ImageDataset` with shuffled data.
diff --git a/docs/api/safeds/data/labeled/containers/TabularDataset.md b/docs/api/safeds/data/labeled/containers/TabularDataset.md
index b518fe690..37be167fc 100644
--- a/docs/api/safeds/data/labeled/containers/TabularDataset.md
+++ b/docs/api/safeds/data/labeled/containers/TabularDataset.md
@@ -1,4 +1,4 @@
-# `#!sds class` TabularDataset {#safeds.data.labeled.containers.TabularDataset data-toc-label='TabularDataset'}
+# `TabularDataset` {#safeds.data.labeled.containers.TabularDataset data-toc-label='[class] TabularDataset'}
A dataset containing tabular data. It can be used to train machine learning models.
@@ -71,7 +71,7 @@ pipeline example {
}
```
-## `#!sds attr` extras {#safeds.data.labeled.containers.TabularDataset.extras data-toc-label='extras'}
+## `extras` {#safeds.data.labeled.containers.TabularDataset.extras data-toc-label='[attribute] extras'}
Additional columns of the tabular dataset that are neither features nor target.
@@ -79,19 +79,19 @@ These can be used to store additional information about instances, such as IDs.
**Type:** [`Table`][safeds.data.tabular.containers.Table]
-## `#!sds attr` features {#safeds.data.labeled.containers.TabularDataset.features data-toc-label='features'}
+## `features` {#safeds.data.labeled.containers.TabularDataset.features data-toc-label='[attribute] features'}
The feature columns of the tabular dataset.
**Type:** [`Table`][safeds.data.tabular.containers.Table]
-## `#!sds attr` target {#safeds.data.labeled.containers.TabularDataset.target data-toc-label='target'}
+## `target` {#safeds.data.labeled.containers.TabularDataset.target data-toc-label='[attribute] target'}
The target column of the tabular dataset.
**Type:** [`Column`][safeds.data.tabular.containers.Column]
-## `#!sds fun` toTable {#safeds.data.labeled.containers.TabularDataset.toTable data-toc-label='toTable'}
+## `toTable` {#safeds.data.labeled.containers.TabularDataset.toTable data-toc-label='[function] toTable'}
Return a table containing all columns of the tabular dataset.
diff --git a/docs/api/safeds/data/labeled/containers/TimeSeriesDataset.md b/docs/api/safeds/data/labeled/containers/TimeSeriesDataset.md
index 5f047bc06..707818ee9 100644
--- a/docs/api/safeds/data/labeled/containers/TimeSeriesDataset.md
+++ b/docs/api/safeds/data/labeled/containers/TimeSeriesDataset.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` TimeSeriesDataset {#safeds.data.labeled.containers.TimeSeriesDataset data-toc-label='TimeSeriesDataset'}
+# :test_tube:{ title="Experimental" } `TimeSeriesDataset` {#safeds.data.labeled.containers.TimeSeriesDataset data-toc-label='[class] TimeSeriesDataset'}
A time series dataset maps feature and time columns to a target column. Not like the TabularDataset a TimeSeries needs to contain one target and one time column, but can have empty features.
@@ -68,7 +68,7 @@ pipeline example {
}
```
-## `#!sds attr` extras {#safeds.data.labeled.containers.TimeSeriesDataset.extras data-toc-label='extras'}
+## `extras` {#safeds.data.labeled.containers.TimeSeriesDataset.extras data-toc-label='[attribute] extras'}
Additional columns of the time series dataset that are neither features, target nor time.
@@ -76,25 +76,25 @@ These can be used to store additional information about instances, such as IDs.
**Type:** [`Table`][safeds.data.tabular.containers.Table]
-## `#!sds attr` features {#safeds.data.labeled.containers.TimeSeriesDataset.features data-toc-label='features'}
+## `features` {#safeds.data.labeled.containers.TimeSeriesDataset.features data-toc-label='[attribute] features'}
The feature columns of the time series dataset.
**Type:** [`Table`][safeds.data.tabular.containers.Table]
-## `#!sds attr` target {#safeds.data.labeled.containers.TimeSeriesDataset.target data-toc-label='target'}
+## `target` {#safeds.data.labeled.containers.TimeSeriesDataset.target data-toc-label='[attribute] target'}
The target column of the time series dataset.
**Type:** [`Column`][safeds.data.tabular.containers.Column]
-## `#!sds attr` time {#safeds.data.labeled.containers.TimeSeriesDataset.time data-toc-label='time'}
+## `time` {#safeds.data.labeled.containers.TimeSeriesDataset.time data-toc-label='[attribute] time'}
The time column of the time series dataset.
**Type:** [`Column`][safeds.data.tabular.containers.Column]
-## `#!sds fun` toTable {#safeds.data.labeled.containers.TimeSeriesDataset.toTable data-toc-label='toTable'}
+## `toTable` {#safeds.data.labeled.containers.TimeSeriesDataset.toTable data-toc-label='[function] toTable'}
Return a new `Table` containing the feature columns, the target column, the time column and the extra columns.
diff --git a/docs/api/safeds/data/tabular/containers/Cell.md b/docs/api/safeds/data/tabular/containers/Cell.md
index d060ba500..1a67e14dc 100644
--- a/docs/api/safeds/data/tabular/containers/Cell.md
+++ b/docs/api/safeds/data/tabular/containers/Cell.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` Cell {#safeds.data.tabular.containers.Cell data-toc-label='Cell'}
+# `Cell` {#safeds.data.tabular.containers.Cell data-toc-label='[class] Cell'}
A single value in a table.
@@ -299,7 +299,7 @@ This class cannot be instantiated directly. It is only used for arguments of cal
}
```
-## `#!sds fun` abs {#safeds.data.tabular.containers.Cell.abs data-toc-label='abs'}
+## `abs` {#safeds.data.tabular.containers.Cell.abs data-toc-label='[function] abs'}
Get the absolute value.
@@ -326,7 +326,7 @@ pipeline example {
fun abs() -> result: Cell
```
-## `#!sds fun` add {#safeds.data.tabular.containers.Cell.add data-toc-label='add'}
+## `add` {#safeds.data.tabular.containers.Cell.add data-toc-label='[function] add'}
Add a value. This WILL LATER BE equivalent to the `+` operator.
@@ -361,7 +361,7 @@ pipeline example {
) -> result: Cell
```
-## `#!sds fun` and {#safeds.data.tabular.containers.Cell.and data-toc-label='and'}
+## `and` {#safeds.data.tabular.containers.Cell.and data-toc-label='[function] and'}
Perform a boolean AND operation. This WILL LATER BE equivalent to the ^and operator.
@@ -397,7 +397,7 @@ pipeline example {
) -> result: Cell
```
-## `#!sds fun` ceil {#safeds.data.tabular.containers.Cell.ceil data-toc-label='ceil'}
+## `ceil` {#safeds.data.tabular.containers.Cell.ceil data-toc-label='[function] ceil'}
Round up to the nearest integer.
@@ -424,7 +424,7 @@ pipeline example {
fun ceil() -> result: Cell
```
-## `#!sds fun` div {#safeds.data.tabular.containers.Cell.div data-toc-label='div'}
+## `div` {#safeds.data.tabular.containers.Cell.div data-toc-label='[function] div'}
Divide by a value. This WILL LATER BE equivalent to the `/` operator.
@@ -459,7 +459,7 @@ pipeline example {
) -> result: Cell
```
-## `#!sds fun` eq {#safeds.data.tabular.containers.Cell.eq data-toc-label='eq'}
+## `eq` {#safeds.data.tabular.containers.Cell.eq data-toc-label='[function] eq'}
Check if equal to a value. This WILL LATER BE equivalent to the `==` operator.
@@ -494,7 +494,7 @@ pipeline example {
) -> result: Cell
```
-## `#!sds fun` floor {#safeds.data.tabular.containers.Cell.floor data-toc-label='floor'}
+## `floor` {#safeds.data.tabular.containers.Cell.floor data-toc-label='[function] floor'}
Round down to the nearest integer.
@@ -521,7 +521,7 @@ pipeline example {
fun floor() -> result: Cell
```
-## `#!sds fun` ge {#safeds.data.tabular.containers.Cell.ge data-toc-label='ge'}
+## `ge` {#safeds.data.tabular.containers.Cell.ge data-toc-label='[function] ge'}
Check if greater than or equal to a value. This WILL LATER BE equivalent to the `>=` operator.
@@ -556,7 +556,7 @@ pipeline example {
) -> result: Cell
```
-## `#!sds fun` gt {#safeds.data.tabular.containers.Cell.gt data-toc-label='gt'}
+## `gt` {#safeds.data.tabular.containers.Cell.gt data-toc-label='[function] gt'}
Check if greater than a value. This WILL LATER BE equivalent to the `>` operator.
@@ -591,7 +591,7 @@ pipeline example {
) -> result: Cell
```
-## `#!sds fun` le {#safeds.data.tabular.containers.Cell.le data-toc-label='le'}
+## `le` {#safeds.data.tabular.containers.Cell.le data-toc-label='[function] le'}
Check if less than or equal to a value. This WILL LATER BE equivalent to the `<=` operator.
@@ -626,7 +626,7 @@ pipeline example {
) -> result: Cell
```
-## `#!sds fun` lt {#safeds.data.tabular.containers.Cell.lt data-toc-label='lt'}
+## `lt` {#safeds.data.tabular.containers.Cell.lt data-toc-label='[function] lt'}
Check if less than a value. This WILL LATER BE equivalent to the `<` operator.
@@ -661,7 +661,7 @@ pipeline example {
) -> result: Cell
```
-## `#!sds fun` mod {#safeds.data.tabular.containers.Cell.mod data-toc-label='mod'}
+## `mod` {#safeds.data.tabular.containers.Cell.mod data-toc-label='[function] mod'}
Perform a modulo operation.
@@ -696,7 +696,7 @@ pipeline example {
) -> result: Cell
```
-## `#!sds fun` mul {#safeds.data.tabular.containers.Cell.mul data-toc-label='mul'}
+## `mul` {#safeds.data.tabular.containers.Cell.mul data-toc-label='[function] mul'}
Multiply by a value. This WILL LATER BE equivalent to the `*` operator.
@@ -731,7 +731,7 @@ pipeline example {
) -> result: Cell
```
-## `#!sds fun` neg {#safeds.data.tabular.containers.Cell.neg data-toc-label='neg'}
+## `neg` {#safeds.data.tabular.containers.Cell.neg data-toc-label='[function] neg'}
Negate the value.
@@ -758,7 +758,7 @@ pipeline example {
fun neg() -> result: Cell
```
-## `#!sds fun` not {#safeds.data.tabular.containers.Cell.not data-toc-label='not'}
+## `not` {#safeds.data.tabular.containers.Cell.not data-toc-label='[function] not'}
Negate a boolean. This WILL LATER BE equivalent to the ^not operator.
@@ -786,7 +786,7 @@ pipeline example {
fun ^not() -> result: Cell
```
-## `#!sds fun` or {#safeds.data.tabular.containers.Cell.or data-toc-label='or'}
+## `or` {#safeds.data.tabular.containers.Cell.or data-toc-label='[function] or'}
Perform a boolean OR operation. This WILL LATER BE equivalent to the ^or operator.
@@ -822,7 +822,7 @@ pipeline example {
) -> result: Cell
```
-## `#!sds fun` pow {#safeds.data.tabular.containers.Cell.pow data-toc-label='pow'}
+## `pow` {#safeds.data.tabular.containers.Cell.pow data-toc-label='[function] pow'}
Raise to a power.
@@ -857,7 +857,7 @@ pipeline example {
) -> result: Cell
```
-## `#!sds fun` sub {#safeds.data.tabular.containers.Cell.sub data-toc-label='sub'}
+## `sub` {#safeds.data.tabular.containers.Cell.sub data-toc-label='[function] sub'}
Subtract a value. This WILL LATER BE equivalent to the `-` operator.
@@ -892,7 +892,7 @@ pipeline example {
) -> result: Cell
```
-## `#!sds fun` xor {#safeds.data.tabular.containers.Cell.xor data-toc-label='xor'}
+## `xor` {#safeds.data.tabular.containers.Cell.xor data-toc-label='[function] xor'}
Perform a boolean XOR operation.
diff --git a/docs/api/safeds/data/tabular/containers/Column.md b/docs/api/safeds/data/tabular/containers/Column.md
index 4030f7c59..9e18f8f77 100644
--- a/docs/api/safeds/data/tabular/containers/Column.md
+++ b/docs/api/safeds/data/tabular/containers/Column.md
@@ -1,4 +1,4 @@
-# `#!sds class` Column {#safeds.data.tabular.containers.Column data-toc-label='Column'}
+# `Column` {#safeds.data.tabular.containers.Column data-toc-label='[class] Column'}
A named, one-dimensional collection of homogeneous values.
@@ -398,43 +398,43 @@ pipeline example {
}
```
-## `#!sds attr` isNumeric {#safeds.data.tabular.containers.Column.isNumeric data-toc-label='isNumeric'}
+## `isNumeric` {#safeds.data.tabular.containers.Column.isNumeric data-toc-label='[attribute] isNumeric'}
Whether the column is numeric.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` isTemporal {#safeds.data.tabular.containers.Column.isTemporal data-toc-label='isTemporal'}
+## `isTemporal` {#safeds.data.tabular.containers.Column.isTemporal data-toc-label='[attribute] isTemporal'}
Whether the column is temporal.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` name {#safeds.data.tabular.containers.Column.name data-toc-label='name'}
+## `name` {#safeds.data.tabular.containers.Column.name data-toc-label='[attribute] name'}
The name of the column.
**Type:** [`String`][safeds.lang.String]
-## `#!sds attr` plot {#safeds.data.tabular.containers.Column.plot data-toc-label='plot'}
+## `plot` {#safeds.data.tabular.containers.Column.plot data-toc-label='[attribute] plot'}
The plotter for the column.
**Type:** [`ColumnPlotter`][safeds.data.tabular.plotting.ColumnPlotter]
-## `#!sds attr` rowCount {#safeds.data.tabular.containers.Column.rowCount data-toc-label='rowCount'}
+## `rowCount` {#safeds.data.tabular.containers.Column.rowCount data-toc-label='[attribute] rowCount'}
The number of rows in the column.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds attr` type {#safeds.data.tabular.containers.Column.type data-toc-label='type'}
+## `type` {#safeds.data.tabular.containers.Column.type data-toc-label='[attribute] type'}
The type of the column.
**Type:** [`DataType`][safeds.data.tabular.typing.DataType]
-## `#!sds fun` correlationWith {#safeds.data.tabular.containers.Column.correlationWith data-toc-label='correlationWith'}
+## `correlationWith` {#safeds.data.tabular.containers.Column.correlationWith data-toc-label='[function] correlationWith'}
Calculate the Pearson correlation between this column and another column.
@@ -484,7 +484,7 @@ pipeline example {
) -> correlation: Float
```
-## `#!sds fun` distinctValueCount {#safeds.data.tabular.containers.Column.distinctValueCount data-toc-label='distinctValueCount'}
+## `distinctValueCount` {#safeds.data.tabular.containers.Column.distinctValueCount data-toc-label='[function] distinctValueCount'}
Return the number of distinct values in the column.
@@ -519,7 +519,7 @@ pipeline example {
) -> distinctValueCount: Int
```
-## `#!sds fun` getValue {#safeds.data.tabular.containers.Column.getValue data-toc-label='getValue'}
+## `getValue` {#safeds.data.tabular.containers.Column.getValue data-toc-label='[function] getValue'}
Return the column value at specified index.
@@ -557,7 +557,7 @@ pipeline example {
) -> value: T
```
-## `#!sds fun` idness {#safeds.data.tabular.containers.Column.idness data-toc-label='idness'}
+## `idness` {#safeds.data.tabular.containers.Column.idness data-toc-label='[function] idness'}
Calculate the idness of this column.
@@ -595,7 +595,7 @@ pipeline example {
fun idness() -> idness: Float
```
-## `#!sds fun` max {#safeds.data.tabular.containers.Column.max data-toc-label='max'}
+## `max` {#safeds.data.tabular.containers.Column.max data-toc-label='[function] max'}
Return the maximum value in the column.
@@ -621,7 +621,7 @@ pipeline example {
fun max() -> max: T?
```
-## `#!sds fun` mean {#safeds.data.tabular.containers.Column.mean data-toc-label='mean'}
+## `mean` {#safeds.data.tabular.containers.Column.mean data-toc-label='[function] mean'}
Return the mean of the values in the column.
@@ -649,7 +649,7 @@ pipeline example {
fun mean() -> mean: T
```
-## `#!sds fun` median {#safeds.data.tabular.containers.Column.median data-toc-label='median'}
+## `median` {#safeds.data.tabular.containers.Column.median data-toc-label='[function] median'}
Return the median of the values in the column.
@@ -678,7 +678,7 @@ pipeline example {
fun median() -> median: T
```
-## `#!sds fun` min {#safeds.data.tabular.containers.Column.min data-toc-label='min'}
+## `min` {#safeds.data.tabular.containers.Column.min data-toc-label='[function] min'}
Return the minimum value in the column.
@@ -704,7 +704,7 @@ pipeline example {
fun min() -> min: T?
```
-## `#!sds fun` missingValueCount {#safeds.data.tabular.containers.Column.missingValueCount data-toc-label='missingValueCount'}
+## `missingValueCount` {#safeds.data.tabular.containers.Column.missingValueCount data-toc-label='[function] missingValueCount'}
Return the number of missing values in the column.
@@ -731,7 +731,7 @@ pipeline example {
fun missingValueCount() -> missingValueCount: Int
```
-## `#!sds fun` missingValueRatio {#safeds.data.tabular.containers.Column.missingValueRatio data-toc-label='missingValueRatio'}
+## `missingValueRatio` {#safeds.data.tabular.containers.Column.missingValueRatio data-toc-label='[function] missingValueRatio'}
Return the missing value ratio.
@@ -764,7 +764,7 @@ pipeline example {
fun missingValueRatio() -> missingValueRatio: Float
```
-## `#!sds fun` rename {#safeds.data.tabular.containers.Column.rename data-toc-label='rename'}
+## `rename` {#safeds.data.tabular.containers.Column.rename data-toc-label='[function] rename'}
Return a new column with a new name.
@@ -801,7 +801,7 @@ pipeline example {
) -> renamedColumn: Column
```
-## `#!sds fun` stability {#safeds.data.tabular.containers.Column.stability data-toc-label='stability'}
+## `stability` {#safeds.data.tabular.containers.Column.stability data-toc-label='[function] stability'}
Return the stability of the column.
@@ -833,7 +833,7 @@ pipeline example {
fun stability() -> stability: Float
```
-## `#!sds fun` standardDeviation {#safeds.data.tabular.containers.Column.standardDeviation data-toc-label='standardDeviation'}
+## `standardDeviation` {#safeds.data.tabular.containers.Column.standardDeviation data-toc-label='[function] standardDeviation'}
Return the standard deviation of the values in the column.
@@ -862,7 +862,7 @@ pipeline example {
fun standardDeviation() -> standardDeviation: Float
```
-## `#!sds fun` summarizeStatistics {#safeds.data.tabular.containers.Column.summarizeStatistics data-toc-label='summarizeStatistics'}
+## `summarizeStatistics` {#safeds.data.tabular.containers.Column.summarizeStatistics data-toc-label='[function] summarizeStatistics'}
Return a table with important statistics about the column.
@@ -889,7 +889,7 @@ pipeline example {
fun summarizeStatistics() -> statistics: Table
```
-## `#!sds fun` toList {#safeds.data.tabular.containers.Column.toList data-toc-label='toList'}
+## `toList` {#safeds.data.tabular.containers.Column.toList data-toc-label='[function] toList'}
Return the values of the column in a list.
@@ -916,7 +916,7 @@ pipeline example {
fun toList() -> values: List
```
-## `#!sds fun` toTable {#safeds.data.tabular.containers.Column.toTable data-toc-label='toTable'}
+## `toTable` {#safeds.data.tabular.containers.Column.toTable data-toc-label='[function] toTable'}
Create a table that contains only this column.
@@ -944,7 +944,7 @@ pipeline example {
fun toTable() -> table: Table
```
-## `#!sds fun` transform {#safeds.data.tabular.containers.Column.transform data-toc-label='transform'}
+## `transform` {#safeds.data.tabular.containers.Column.transform data-toc-label='[function] transform'}
Return a new column with values transformed by the transformer.
@@ -987,7 +987,7 @@ pipeline example {
) -> transformedColumn: Column
```
-## `#!sds fun` variance {#safeds.data.tabular.containers.Column.variance data-toc-label='variance'}
+## `variance` {#safeds.data.tabular.containers.Column.variance data-toc-label='[function] variance'}
Return the variance of the values in the column.
diff --git a/docs/api/safeds/data/tabular/containers/Row.md b/docs/api/safeds/data/tabular/containers/Row.md
index 429571c87..33997bd3d 100644
--- a/docs/api/safeds/data/tabular/containers/Row.md
+++ b/docs/api/safeds/data/tabular/containers/Row.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` Row {#safeds.data.tabular.containers.Row data-toc-label='Row'}
+# `Row` {#safeds.data.tabular.containers.Row data-toc-label='[class] Row'}
A one-dimensional collection of named, heterogeneous values.
@@ -67,25 +67,25 @@ This class cannot be instantiated directly. It is only used for arguments of cal
}
```
-## `#!sds attr` columnCount {#safeds.data.tabular.containers.Row.columnCount data-toc-label='columnCount'}
+## `columnCount` {#safeds.data.tabular.containers.Row.columnCount data-toc-label='[attribute] columnCount'}
The number of columns in the row.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds attr` columnNames {#safeds.data.tabular.containers.Row.columnNames data-toc-label='columnNames'}
+## `columnNames` {#safeds.data.tabular.containers.Row.columnNames data-toc-label='[attribute] columnNames'}
The names of the columns in the row.
**Type:** [`List`][safeds.lang.List]
-## `#!sds attr` schema {#safeds.data.tabular.containers.Row.schema data-toc-label='schema'}
+## `schema` {#safeds.data.tabular.containers.Row.schema data-toc-label='[attribute] schema'}
The schema of the row.
**Type:** [`Schema`][safeds.data.tabular.typing.Schema]
-## `#!sds fun` getColumnType {#safeds.data.tabular.containers.Row.getColumnType data-toc-label='getColumnType'}
+## `getColumnType` {#safeds.data.tabular.containers.Row.getColumnType data-toc-label='[function] getColumnType'}
Get the type of the specified column.
@@ -111,7 +111,7 @@ Get the type of the specified column.
) -> type: DataType
```
-## `#!sds fun` getValue {#safeds.data.tabular.containers.Row.getValue data-toc-label='getValue'}
+## `getValue` {#safeds.data.tabular.containers.Row.getValue data-toc-label='[function] getValue'}
Get the value of the specified column.
@@ -137,7 +137,7 @@ Get the value of the specified column.
) -> value: Cell
```
-## `#!sds fun` hasColumn {#safeds.data.tabular.containers.Row.hasColumn data-toc-label='hasColumn'}
+## `hasColumn` {#safeds.data.tabular.containers.Row.hasColumn data-toc-label='[function] hasColumn'}
Check if the row has a column with the specified name.
diff --git a/docs/api/safeds/data/tabular/containers/Table.md b/docs/api/safeds/data/tabular/containers/Table.md
index a2d60956d..2173e2962 100644
--- a/docs/api/safeds/data/tabular/containers/Table.md
+++ b/docs/api/safeds/data/tabular/containers/Table.md
@@ -1,4 +1,4 @@
-# `#!sds class` Table {#safeds.data.tabular.containers.Table data-toc-label='Table'}
+# `Table` {#safeds.data.tabular.containers.Table data-toc-label='[class] Table'}
A two-dimensional collection of data. It can either be seen as a list of rows or as a list of columns.
@@ -962,25 +962,25 @@ pipeline example {
}
```
-## `#!sds attr` columnCount {#safeds.data.tabular.containers.Table.columnCount data-toc-label='columnCount'}
+## `columnCount` {#safeds.data.tabular.containers.Table.columnCount data-toc-label='[attribute] columnCount'}
The number of columns in the table.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds attr` columnNames {#safeds.data.tabular.containers.Table.columnNames data-toc-label='columnNames'}
+## `columnNames` {#safeds.data.tabular.containers.Table.columnNames data-toc-label='[attribute] columnNames'}
The names of the columns in the table.
**Type:** [`List`][safeds.lang.List]
-## `#!sds attr` plot {#safeds.data.tabular.containers.Table.plot data-toc-label='plot'}
+## `plot` {#safeds.data.tabular.containers.Table.plot data-toc-label='[attribute] plot'}
The plotter for the table.
**Type:** [`TablePlotter`][safeds.data.tabular.plotting.TablePlotter]
-## `#!sds attr` rowCount {#safeds.data.tabular.containers.Table.rowCount data-toc-label='rowCount'}
+## `rowCount` {#safeds.data.tabular.containers.Table.rowCount data-toc-label='[attribute] rowCount'}
The number of rows in the table.
@@ -988,13 +988,13 @@ The number of rows in the table.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds attr` schema {#safeds.data.tabular.containers.Table.schema data-toc-label='schema'}
+## `schema` {#safeds.data.tabular.containers.Table.schema data-toc-label='[attribute] schema'}
The schema of the table.
**Type:** [`Schema`][safeds.data.tabular.typing.Schema]
-## `#!sds fun` addColumns {#safeds.data.tabular.containers.Table.addColumns data-toc-label='addColumns'}
+## `addColumns` {#safeds.data.tabular.containers.Table.addColumns data-toc-label='[function] addColumns'}
Return a new table with additional columns.
@@ -1035,7 +1035,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds fun` addComputedColumn {#safeds.data.tabular.containers.Table.addComputedColumn data-toc-label='addComputedColumn'}
+## `addComputedColumn` {#safeds.data.tabular.containers.Table.addComputedColumn data-toc-label='[function] addComputedColumn'}
Return a new table with an additional computed column.
@@ -1074,7 +1074,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds fun` addTableAsColumns {#safeds.data.tabular.containers.Table.addTableAsColumns data-toc-label='addTableAsColumns'}
+## `addTableAsColumns` {#safeds.data.tabular.containers.Table.addTableAsColumns data-toc-label='[function] addTableAsColumns'}
Return a new table with the columns of another table added.
@@ -1116,7 +1116,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds fun` addTableAsRows {#safeds.data.tabular.containers.Table.addTableAsRows data-toc-label='addTableAsRows'}
+## `addTableAsRows` {#safeds.data.tabular.containers.Table.addTableAsRows data-toc-label='[function] addTableAsRows'}
Return a new table with the rows of another table added.
@@ -1158,7 +1158,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds fun` getColumn {#safeds.data.tabular.containers.Table.getColumn data-toc-label='getColumn'}
+## `getColumn` {#safeds.data.tabular.containers.Table.getColumn data-toc-label='[function] getColumn'}
Get a column from the table.
@@ -1196,7 +1196,7 @@ pipeline example {
) -> column: Column
```
-## `#!sds fun` getColumnType {#safeds.data.tabular.containers.Table.getColumnType data-toc-label='getColumnType'}
+## `getColumnType` {#safeds.data.tabular.containers.Table.getColumnType data-toc-label='[function] getColumnType'}
Get the data type of a column.
@@ -1231,7 +1231,7 @@ pipeline example {
) -> type: DataType
```
-## `#!sds fun` hasColumn {#safeds.data.tabular.containers.Table.hasColumn data-toc-label='hasColumn'}
+## `hasColumn` {#safeds.data.tabular.containers.Table.hasColumn data-toc-label='[function] hasColumn'}
Check if the table has a column with a specific name.
@@ -1266,7 +1266,7 @@ pipeline example {
) -> hasColumn: Boolean
```
-## `#!sds fun` inverseTransformTable {#safeds.data.tabular.containers.Table.inverseTransformTable data-toc-label='inverseTransformTable'}
+## `inverseTransformTable` {#safeds.data.tabular.containers.Table.inverseTransformTable data-toc-label='[function] inverseTransformTable'}
Return a new table inverse-transformed by a **fitted, invertible** transformer.
@@ -1308,7 +1308,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds fun` removeColumns {#safeds.data.tabular.containers.Table.removeColumns data-toc-label='removeColumns'}
+## `removeColumns` {#safeds.data.tabular.containers.Table.removeColumns data-toc-label='[function] removeColumns'}
Return a new table without the specified columns.
@@ -1357,7 +1357,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds fun` removeColumnsExcept {#safeds.data.tabular.containers.Table.removeColumnsExcept data-toc-label='removeColumnsExcept'}
+## `removeColumnsExcept` {#safeds.data.tabular.containers.Table.removeColumnsExcept data-toc-label='[function] removeColumnsExcept'}
Return a new table with only the specified columns.
@@ -1393,7 +1393,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds fun` removeColumnsWithMissingValues {#safeds.data.tabular.containers.Table.removeColumnsWithMissingValues data-toc-label='removeColumnsWithMissingValues'}
+## `removeColumnsWithMissingValues` {#safeds.data.tabular.containers.Table.removeColumnsWithMissingValues data-toc-label='[function] removeColumnsWithMissingValues'}
Return a new table without columns that contain missing values.
@@ -1426,7 +1426,7 @@ pipeline example {
fun removeColumnsWithMissingValues() -> newTable: Table
```
-## `#!sds fun` removeDuplicateRows {#safeds.data.tabular.containers.Table.removeDuplicateRows data-toc-label='removeDuplicateRows'}
+## `removeDuplicateRows` {#safeds.data.tabular.containers.Table.removeDuplicateRows data-toc-label='[function] removeDuplicateRows'}
Return a new table without duplicate rows.
@@ -1456,7 +1456,7 @@ pipeline example {
fun removeDuplicateRows() -> newTable: Table
```
-## `#!sds fun` removeNonNumericColumns {#safeds.data.tabular.containers.Table.removeNonNumericColumns data-toc-label='removeNonNumericColumns'}
+## `removeNonNumericColumns` {#safeds.data.tabular.containers.Table.removeNonNumericColumns data-toc-label='[function] removeNonNumericColumns'}
Return a new table without non-numeric columns.
@@ -1486,7 +1486,7 @@ pipeline example {
fun removeNonNumericColumns() -> newTable: Table
```
-## `#!sds fun` removeRows {#safeds.data.tabular.containers.Table.removeRows data-toc-label='removeRows'}
+## `removeRows` {#safeds.data.tabular.containers.Table.removeRows data-toc-label='[function] removeRows'}
Return a new table without rows that satisfy a condition.
@@ -1524,7 +1524,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds fun` removeRowsByColumn {#safeds.data.tabular.containers.Table.removeRowsByColumn data-toc-label='removeRowsByColumn'}
+## `removeRowsByColumn` {#safeds.data.tabular.containers.Table.removeRowsByColumn data-toc-label='[function] removeRowsByColumn'}
Return a new table without rows that satisfy a condition on a specific column.
@@ -1564,7 +1564,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds fun` removeRowsWithMissingValues {#safeds.data.tabular.containers.Table.removeRowsWithMissingValues data-toc-label='removeRowsWithMissingValues'}
+## `removeRowsWithMissingValues` {#safeds.data.tabular.containers.Table.removeRowsWithMissingValues data-toc-label='[function] removeRowsWithMissingValues'}
Return a new table without rows containing missing values in the specified columns.
@@ -1602,7 +1602,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds fun` removeRowsWithOutliers {#safeds.data.tabular.containers.Table.removeRowsWithOutliers data-toc-label='removeRowsWithOutliers'}
+## `removeRowsWithOutliers` {#safeds.data.tabular.containers.Table.removeRowsWithOutliers data-toc-label='[function] removeRowsWithOutliers'}
Return a new table without rows containing outliers in the specified columns.
@@ -1658,7 +1658,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds fun` renameColumn {#safeds.data.tabular.containers.Table.renameColumn data-toc-label='renameColumn'}
+## `renameColumn` {#safeds.data.tabular.containers.Table.renameColumn data-toc-label='[function] renameColumn'}
Return a new table with a column renamed.
@@ -1698,7 +1698,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds fun` replaceColumn {#safeds.data.tabular.containers.Table.replaceColumn data-toc-label='replaceColumn'}
+## `replaceColumn` {#safeds.data.tabular.containers.Table.replaceColumn data-toc-label='[function] replaceColumn'}
Return a new table with a column replaced by zero or more columns.
@@ -1738,7 +1738,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds fun` shuffleRows {#safeds.data.tabular.containers.Table.shuffleRows data-toc-label='shuffleRows'}
+## `shuffleRows` {#safeds.data.tabular.containers.Table.shuffleRows data-toc-label='[function] shuffleRows'}
Return a new table with the rows shuffled.
@@ -1768,7 +1768,7 @@ pipeline example {
fun shuffleRows() -> newTable: Table
```
-## `#!sds fun` sliceRows {#safeds.data.tabular.containers.Table.sliceRows data-toc-label='sliceRows'}
+## `sliceRows` {#safeds.data.tabular.containers.Table.sliceRows data-toc-label='[function] sliceRows'}
Return a new table with a slice of rows.
@@ -1815,7 +1815,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds fun` sortRows {#safeds.data.tabular.containers.Table.sortRows data-toc-label='sortRows'}
+## `sortRows` {#safeds.data.tabular.containers.Table.sortRows data-toc-label='[function] sortRows'}
Return a new table with the rows sorted.
@@ -1855,7 +1855,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds fun` sortRowsByColumn {#safeds.data.tabular.containers.Table.sortRowsByColumn data-toc-label='sortRowsByColumn'}
+## `sortRowsByColumn` {#safeds.data.tabular.containers.Table.sortRowsByColumn data-toc-label='[function] sortRowsByColumn'}
Return a new table with the rows sorted by a specific column.
@@ -1895,7 +1895,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds fun` splitRows {#safeds.data.tabular.containers.Table.splitRows data-toc-label='splitRows'}
+## `splitRows` {#safeds.data.tabular.containers.Table.splitRows data-toc-label='[function] splitRows'}
Create two tables by splitting the rows of the current table.
@@ -1941,7 +1941,7 @@ pipeline example {
) -> (firstTable: Table, secondTable: Table)
```
-## `#!sds fun` summarizeStatistics {#safeds.data.tabular.containers.Table.summarizeStatistics data-toc-label='summarizeStatistics'}
+## `summarizeStatistics` {#safeds.data.tabular.containers.Table.summarizeStatistics data-toc-label='[function] summarizeStatistics'}
Return a table with important statistics about this table.
@@ -1968,7 +1968,7 @@ pipeline example {
fun summarizeStatistics() -> statistics: Table
```
-## `#!sds fun` toColumns {#safeds.data.tabular.containers.Table.toColumns data-toc-label='toColumns'}
+## `toColumns` {#safeds.data.tabular.containers.Table.toColumns data-toc-label='[function] toColumns'}
Return the data of the table as a list of columns.
@@ -1995,7 +1995,7 @@ pipeline example {
fun toColumns() -> columns: List
```
-## `#!sds fun` toCsvFile {#safeds.data.tabular.containers.Table.toCsvFile data-toc-label='toCsvFile'}
+## `toCsvFile` {#safeds.data.tabular.containers.Table.toCsvFile data-toc-label='[function] toCsvFile'}
Write the table to a CSV file.
@@ -2027,7 +2027,7 @@ pipeline example {
)
```
-## `#!sds fun` toJsonFile {#safeds.data.tabular.containers.Table.toJsonFile data-toc-label='toJsonFile'}
+## `toJsonFile` {#safeds.data.tabular.containers.Table.toJsonFile data-toc-label='[function] toJsonFile'}
Write the table to a JSON file.
@@ -2063,7 +2063,7 @@ pipeline example {
)
```
-## `#!sds fun` toMap {#safeds.data.tabular.containers.Table.toMap data-toc-label='toMap'}
+## `toMap` {#safeds.data.tabular.containers.Table.toMap data-toc-label='[function] toMap'}
Return a map that maps column names to column values.
@@ -2091,7 +2091,7 @@ pipeline example {
fun toMap() -> map: Map>
```
-## `#!sds fun` toParquetFile {#safeds.data.tabular.containers.Table.toParquetFile data-toc-label='toParquetFile'}
+## `toParquetFile` {#safeds.data.tabular.containers.Table.toParquetFile data-toc-label='[function] toParquetFile'}
Write the table to a Parquet file.
@@ -2123,7 +2123,7 @@ pipeline example {
)
```
-## `#!sds fun` toTabularDataset {#safeds.data.tabular.containers.Table.toTabularDataset data-toc-label='toTabularDataset'}
+## `toTabularDataset` {#safeds.data.tabular.containers.Table.toTabularDataset data-toc-label='[function] toTabularDataset'}
Return a new `TabularDataset` with columns marked as a target, feature, or extra.
@@ -2174,7 +2174,7 @@ pipeline example {
) -> dataset: TabularDataset
```
-## `#!sds fun` toTimeSeriesDataset {#safeds.data.tabular.containers.Table.toTimeSeriesDataset data-toc-label='toTimeSeriesDataset'}
+## `toTimeSeriesDataset` {#safeds.data.tabular.containers.Table.toTimeSeriesDataset data-toc-label='[function] toTimeSeriesDataset'}
Return a new `TimeSeriesDataset` with columns marked as a target column, time or feature columns.
@@ -2221,7 +2221,7 @@ pipeline example {
) -> dataset: TimeSeriesDataset
```
-## `#!sds fun` transformColumn {#safeds.data.tabular.containers.Table.transformColumn data-toc-label='transformColumn'}
+## `transformColumn` {#safeds.data.tabular.containers.Table.transformColumn data-toc-label='[function] transformColumn'}
Return a new table with a column transformed.
@@ -2261,7 +2261,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds fun` transformTable {#safeds.data.tabular.containers.Table.transformTable data-toc-label='transformTable'}
+## `transformTable` {#safeds.data.tabular.containers.Table.transformTable data-toc-label='[function] transformTable'}
Return a new table transformed by a **fitted** transformer.
@@ -2303,7 +2303,7 @@ pipeline example {
) -> newTable: Table
```
-## `#!sds static fun` fromColumns {#safeds.data.tabular.containers.Table.fromColumns data-toc-label='fromColumns'}
+## `fromColumns` {#safeds.data.tabular.containers.Table.fromColumns data-toc-label='[static-function] fromColumns'}
Create a table from a list of columns.
@@ -2339,7 +2339,7 @@ pipeline example {
) -> table: Table
```
-## `#!sds static fun` fromCsvFile {#safeds.data.tabular.containers.Table.fromCsvFile data-toc-label='fromCsvFile'}
+## `fromCsvFile` {#safeds.data.tabular.containers.Table.fromCsvFile data-toc-label='[static-function] fromCsvFile'}
Create a table from a CSV file.
@@ -2375,7 +2375,7 @@ pipeline example {
) -> table: Table
```
-## `#!sds static fun` fromJsonFile {#safeds.data.tabular.containers.Table.fromJsonFile data-toc-label='fromJsonFile'}
+## `fromJsonFile` {#safeds.data.tabular.containers.Table.fromJsonFile data-toc-label='[static-function] fromJsonFile'}
Create a table from a JSON file.
@@ -2409,7 +2409,7 @@ pipeline example {
) -> table: Table
```
-## `#!sds static fun` fromMap {#safeds.data.tabular.containers.Table.fromMap data-toc-label='fromMap'}
+## `fromMap` {#safeds.data.tabular.containers.Table.fromMap data-toc-label='[static-function] fromMap'}
Create a table from a map that maps column names to column values.
@@ -2444,7 +2444,7 @@ pipeline example {
) -> table: Table
```
-## `#!sds static fun` fromParquetFile {#safeds.data.tabular.containers.Table.fromParquetFile data-toc-label='fromParquetFile'}
+## `fromParquetFile` {#safeds.data.tabular.containers.Table.fromParquetFile data-toc-label='[static-function] fromParquetFile'}
Create a table from a Parquet file.
diff --git a/docs/api/safeds/data/tabular/plotting/ColumnPlotter.md b/docs/api/safeds/data/tabular/plotting/ColumnPlotter.md
index 67143cb30..3b8d6a9b0 100644
--- a/docs/api/safeds/data/tabular/plotting/ColumnPlotter.md
+++ b/docs/api/safeds/data/tabular/plotting/ColumnPlotter.md
@@ -1,4 +1,4 @@
-# `#!sds class` ColumnPlotter {#safeds.data.tabular.plotting.ColumnPlotter data-toc-label='ColumnPlotter'}
+# `ColumnPlotter` {#safeds.data.tabular.plotting.ColumnPlotter data-toc-label='[class] ColumnPlotter'}
A class that contains plotting methods for a column.
@@ -79,7 +79,7 @@ pipeline example {
}
```
-## `#!sds fun` boxPlot {#safeds.data.tabular.plotting.ColumnPlotter.boxPlot data-toc-label='boxPlot'}
+## `boxPlot` {#safeds.data.tabular.plotting.ColumnPlotter.boxPlot data-toc-label='[function] boxPlot'}
Create a box plot for the values in the column. This is only possible for numeric columns.
@@ -106,7 +106,7 @@ pipeline example {
fun boxPlot() -> plot: Image
```
-## `#!sds fun` histogram {#safeds.data.tabular.plotting.ColumnPlotter.histogram data-toc-label='histogram'}
+## `histogram` {#safeds.data.tabular.plotting.ColumnPlotter.histogram data-toc-label='[function] histogram'}
Create a histogram for the values in the column.
@@ -142,7 +142,7 @@ pipeline example {
}
```
-## `#!sds fun` lagPlot {#safeds.data.tabular.plotting.ColumnPlotter.lagPlot data-toc-label='lagPlot'}
+## `lagPlot` {#safeds.data.tabular.plotting.ColumnPlotter.lagPlot data-toc-label='[function] lagPlot'}
Create a lag plot for the values in the column.
diff --git a/docs/api/safeds/data/tabular/plotting/TablePlotter.md b/docs/api/safeds/data/tabular/plotting/TablePlotter.md
index c33778de2..b72662e99 100644
--- a/docs/api/safeds/data/tabular/plotting/TablePlotter.md
+++ b/docs/api/safeds/data/tabular/plotting/TablePlotter.md
@@ -1,4 +1,4 @@
-# `#!sds class` TablePlotter {#safeds.data.tabular.plotting.TablePlotter data-toc-label='TablePlotter'}
+# `TablePlotter` {#safeds.data.tabular.plotting.TablePlotter data-toc-label='[class] TablePlotter'}
A class that contains plotting methods for a table.
@@ -127,7 +127,7 @@ pipeline example {
}
```
-## `#!sds fun` boxPlots {#safeds.data.tabular.plotting.TablePlotter.boxPlots data-toc-label='boxPlots'}
+## `boxPlots` {#safeds.data.tabular.plotting.TablePlotter.boxPlots data-toc-label='[function] boxPlots'}
Plot a boxplot for every numerical column.
@@ -154,7 +154,7 @@ pipeline example {
fun boxPlots() -> plot: Image
```
-## `#!sds fun` correlationHeatmap {#safeds.data.tabular.plotting.TablePlotter.correlationHeatmap data-toc-label='correlationHeatmap'}
+## `correlationHeatmap` {#safeds.data.tabular.plotting.TablePlotter.correlationHeatmap data-toc-label='[function] correlationHeatmap'}
Plot a correlation heatmap for all numerical columns of this `Table`.
@@ -181,7 +181,7 @@ pipeline example {
fun correlationHeatmap() -> plot: Image
```
-## `#!sds fun` histograms {#safeds.data.tabular.plotting.TablePlotter.histograms data-toc-label='histograms'}
+## `histograms` {#safeds.data.tabular.plotting.TablePlotter.histograms data-toc-label='[function] histograms'}
Plot a histogram for every column.
@@ -217,7 +217,7 @@ pipeline example {
}
```
-## `#!sds fun` linePlot {#safeds.data.tabular.plotting.TablePlotter.linePlot data-toc-label='linePlot'}
+## `linePlot` {#safeds.data.tabular.plotting.TablePlotter.linePlot data-toc-label='[function] linePlot'}
Create a line plot for two columns in the table.
@@ -259,7 +259,7 @@ pipeline example {
) -> plot: Image
```
-## `#!sds fun` scatterPlot {#safeds.data.tabular.plotting.TablePlotter.scatterPlot data-toc-label='scatterPlot'}
+## `scatterPlot` {#safeds.data.tabular.plotting.TablePlotter.scatterPlot data-toc-label='[function] scatterPlot'}
Create a scatter plot for two columns in the table.
diff --git a/docs/api/safeds/data/tabular/transformation/Discretizer.md b/docs/api/safeds/data/tabular/transformation/Discretizer.md
index c0627e132..f1cd9005c 100644
--- a/docs/api/safeds/data/tabular/transformation/Discretizer.md
+++ b/docs/api/safeds/data/tabular/transformation/Discretizer.md
@@ -1,4 +1,4 @@
-# `#!sds class` Discretizer {#safeds.data.tabular.transformation.Discretizer data-toc-label='Discretizer'}
+# `Discretizer` {#safeds.data.tabular.transformation.Discretizer data-toc-label='[class] Discretizer'}
The Discretizer bins continuous data into intervals.
@@ -70,19 +70,19 @@ pipeline example {
}
```
-## `#!sds attr` binCount {#safeds.data.tabular.transformation.Discretizer.binCount data-toc-label='binCount'}
+## `binCount` {#safeds.data.tabular.transformation.Discretizer.binCount data-toc-label='[attribute] binCount'}
The number of bins to be created.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds attr` isFitted {#safeds.data.tabular.transformation.Discretizer.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.data.tabular.transformation.Discretizer.isFitted data-toc-label='[attribute] isFitted'}
Whether the transformer is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds fun` fit {#safeds.data.tabular.transformation.Discretizer.fit data-toc-label='fit'}
+## `fit` {#safeds.data.tabular.transformation.Discretizer.fit data-toc-label='[function] fit'}
Learn a transformation for a set of columns in a table.
@@ -111,7 +111,7 @@ This transformer is not modified.
) -> fittedTransformer: Discretizer
```
-## `#!sds fun` fitAndTransform {#safeds.data.tabular.transformation.Discretizer.fitAndTransform data-toc-label='fitAndTransform'}
+## `fitAndTransform` {#safeds.data.tabular.transformation.Discretizer.fitAndTransform data-toc-label='[function] fitAndTransform'}
Learn a transformation for a set of columns in a table and apply the learned transformation to the same table.
@@ -142,7 +142,7 @@ Learn a transformation for a set of columns in a table and apply the learned tra
) -> (fittedTransformer: Discretizer, transformedTable: Table)
```
-## `#!sds fun` transform {#safeds.data.tabular.transformation.Discretizer.transform data-toc-label='transform'}
+## `transform` {#safeds.data.tabular.transformation.Discretizer.transform data-toc-label='[function] transform'}
Apply the learned transformation to a table.
diff --git a/docs/api/safeds/data/tabular/transformation/InvertibleTableTransformer.md b/docs/api/safeds/data/tabular/transformation/InvertibleTableTransformer.md
index 35402e98b..1c0c8420c 100644
--- a/docs/api/safeds/data/tabular/transformation/InvertibleTableTransformer.md
+++ b/docs/api/safeds/data/tabular/transformation/InvertibleTableTransformer.md
@@ -1,4 +1,4 @@
-# `#!sds class` InvertibleTableTransformer {#safeds.data.tabular.transformation.InvertibleTableTransformer data-toc-label='InvertibleTableTransformer'}
+# `InvertibleTableTransformer` {#safeds.data.tabular.transformation.InvertibleTableTransformer data-toc-label='[class] InvertibleTableTransformer'}
A `TableTransformer` that can also undo the learned transformation after it has been applied.
@@ -68,13 +68,13 @@ A `TableTransformer` that can also undo the learned transformation after it has
}
```
-## `#!sds attr` isFitted {#safeds.data.tabular.transformation.InvertibleTableTransformer.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.data.tabular.transformation.InvertibleTableTransformer.isFitted data-toc-label='[attribute] isFitted'}
Whether the transformer is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds fun` fit {#safeds.data.tabular.transformation.InvertibleTableTransformer.fit data-toc-label='fit'}
+## `fit` {#safeds.data.tabular.transformation.InvertibleTableTransformer.fit data-toc-label='[function] fit'}
Learn a transformation for a set of columns in a table.
@@ -103,7 +103,7 @@ Learn a transformation for a set of columns in a table.
) -> fittedTransformer: InvertibleTableTransformer
```
-## `#!sds fun` fitAndTransform {#safeds.data.tabular.transformation.InvertibleTableTransformer.fitAndTransform data-toc-label='fitAndTransform'}
+## `fitAndTransform` {#safeds.data.tabular.transformation.InvertibleTableTransformer.fitAndTransform data-toc-label='[function] fitAndTransform'}
Learn a transformation for a set of columns in a table and apply the learned transformation to the same table.
@@ -134,7 +134,7 @@ Learn a transformation for a set of columns in a table and apply the learned tra
) -> (fittedTransformer: InvertibleTableTransformer, transformedTable: Table)
```
-## `#!sds fun` inverseTransform {#safeds.data.tabular.transformation.InvertibleTableTransformer.inverseTransform data-toc-label='inverseTransform'}
+## `inverseTransform` {#safeds.data.tabular.transformation.InvertibleTableTransformer.inverseTransform data-toc-label='[function] inverseTransform'}
Undo the learned transformation as well as possible.
@@ -164,7 +164,7 @@ Column order and types may differ from the original table. Likewise, some values
) -> originalTable: Table
```
-## `#!sds fun` transform {#safeds.data.tabular.transformation.InvertibleTableTransformer.transform data-toc-label='transform'}
+## `transform` {#safeds.data.tabular.transformation.InvertibleTableTransformer.transform data-toc-label='[function] transform'}
Apply the learned transformation to a table.
diff --git a/docs/api/safeds/data/tabular/transformation/LabelEncoder.md b/docs/api/safeds/data/tabular/transformation/LabelEncoder.md
index 1617f1aa5..ac75b8f18 100644
--- a/docs/api/safeds/data/tabular/transformation/LabelEncoder.md
+++ b/docs/api/safeds/data/tabular/transformation/LabelEncoder.md
@@ -1,4 +1,4 @@
-# `#!sds class` LabelEncoder {#safeds.data.tabular.transformation.LabelEncoder data-toc-label='LabelEncoder'}
+# `LabelEncoder` {#safeds.data.tabular.transformation.LabelEncoder data-toc-label='[class] LabelEncoder'}
The LabelEncoder encodes one or more given columns into labels.
@@ -65,13 +65,13 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.data.tabular.transformation.LabelEncoder.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.data.tabular.transformation.LabelEncoder.isFitted data-toc-label='[attribute] isFitted'}
Whether the transformer is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds fun` fit {#safeds.data.tabular.transformation.LabelEncoder.fit data-toc-label='fit'}
+## `fit` {#safeds.data.tabular.transformation.LabelEncoder.fit data-toc-label='[function] fit'}
Learn a transformation for a set of columns in a table.
@@ -100,7 +100,7 @@ This transformer is not modified.
) -> fittedTransformer: LabelEncoder
```
-## `#!sds fun` fitAndTransform {#safeds.data.tabular.transformation.LabelEncoder.fitAndTransform data-toc-label='fitAndTransform'}
+## `fitAndTransform` {#safeds.data.tabular.transformation.LabelEncoder.fitAndTransform data-toc-label='[function] fitAndTransform'}
Learn a transformation for a set of columns in a table and apply the learned transformation to the same table.
@@ -131,7 +131,7 @@ Learn a transformation for a set of columns in a table and apply the learned tra
) -> (fittedTransformer: LabelEncoder, transformedTable: Table)
```
-## `#!sds fun` inverseTransform {#safeds.data.tabular.transformation.LabelEncoder.inverseTransform data-toc-label='inverseTransform'}
+## `inverseTransform` {#safeds.data.tabular.transformation.LabelEncoder.inverseTransform data-toc-label='[function] inverseTransform'}
Undo the learned transformation as well as possible.
@@ -161,7 +161,7 @@ Column order and types may differ from the original table. Likewise, some values
) -> originalTable: Table
```
-## `#!sds fun` transform {#safeds.data.tabular.transformation.LabelEncoder.transform data-toc-label='transform'}
+## `transform` {#safeds.data.tabular.transformation.LabelEncoder.transform data-toc-label='[function] transform'}
Apply the learned transformation to a table.
diff --git a/docs/api/safeds/data/tabular/transformation/OneHotEncoder.md b/docs/api/safeds/data/tabular/transformation/OneHotEncoder.md
index 840d33785..00024908d 100644
--- a/docs/api/safeds/data/tabular/transformation/OneHotEncoder.md
+++ b/docs/api/safeds/data/tabular/transformation/OneHotEncoder.md
@@ -1,4 +1,4 @@
-# `#!sds class` OneHotEncoder {#safeds.data.tabular.transformation.OneHotEncoder data-toc-label='OneHotEncoder'}
+# `OneHotEncoder` {#safeds.data.tabular.transformation.OneHotEncoder data-toc-label='[class] OneHotEncoder'}
A way to deal with categorical features that is particularly useful for unordered (i.e. nominal) data.
@@ -88,13 +88,13 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.data.tabular.transformation.OneHotEncoder.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.data.tabular.transformation.OneHotEncoder.isFitted data-toc-label='[attribute] isFitted'}
Whether the transformer is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds fun` fit {#safeds.data.tabular.transformation.OneHotEncoder.fit data-toc-label='fit'}
+## `fit` {#safeds.data.tabular.transformation.OneHotEncoder.fit data-toc-label='[function] fit'}
Learn a transformation for a set of columns in a table.
@@ -123,7 +123,7 @@ This transformer is not modified.
) -> fittedTransformer: OneHotEncoder
```
-## `#!sds fun` fitAndTransform {#safeds.data.tabular.transformation.OneHotEncoder.fitAndTransform data-toc-label='fitAndTransform'}
+## `fitAndTransform` {#safeds.data.tabular.transformation.OneHotEncoder.fitAndTransform data-toc-label='[function] fitAndTransform'}
Learn a transformation for a set of columns in a table and apply the learned transformation to the same table.
@@ -154,7 +154,7 @@ Learn a transformation for a set of columns in a table and apply the learned tra
) -> (fittedTransformer: OneHotEncoder, transformedTable: Table)
```
-## `#!sds fun` inverseTransform {#safeds.data.tabular.transformation.OneHotEncoder.inverseTransform data-toc-label='inverseTransform'}
+## `inverseTransform` {#safeds.data.tabular.transformation.OneHotEncoder.inverseTransform data-toc-label='[function] inverseTransform'}
Undo the learned transformation as well as possible.
@@ -184,7 +184,7 @@ Column order and types may differ from the original table. Likewise, some values
) -> originalTable: Table
```
-## `#!sds fun` transform {#safeds.data.tabular.transformation.OneHotEncoder.transform data-toc-label='transform'}
+## `transform` {#safeds.data.tabular.transformation.OneHotEncoder.transform data-toc-label='[function] transform'}
Apply the learned transformation to a table.
diff --git a/docs/api/safeds/data/tabular/transformation/RangeScaler.md b/docs/api/safeds/data/tabular/transformation/RangeScaler.md
index c4945a1bb..165ac67ea 100644
--- a/docs/api/safeds/data/tabular/transformation/RangeScaler.md
+++ b/docs/api/safeds/data/tabular/transformation/RangeScaler.md
@@ -1,4 +1,4 @@
-# `#!sds class` RangeScaler {#safeds.data.tabular.transformation.RangeScaler data-toc-label='RangeScaler'}
+# `RangeScaler` {#safeds.data.tabular.transformation.RangeScaler data-toc-label='[class] RangeScaler'}
The RangeScaler transforms column values by scaling each value to a given range.
@@ -76,25 +76,25 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.data.tabular.transformation.RangeScaler.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.data.tabular.transformation.RangeScaler.isFitted data-toc-label='[attribute] isFitted'}
Whether the transformer is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` max {#safeds.data.tabular.transformation.RangeScaler.max data-toc-label='max'}
+## `max` {#safeds.data.tabular.transformation.RangeScaler.max data-toc-label='[attribute] max'}
The maximum of the new range after the transformation.
**Type:** [`Float`][safeds.lang.Float]
-## `#!sds attr` min {#safeds.data.tabular.transformation.RangeScaler.min data-toc-label='min'}
+## `min` {#safeds.data.tabular.transformation.RangeScaler.min data-toc-label='[attribute] min'}
The minimum of the new range after the transformation.
**Type:** [`Float`][safeds.lang.Float]
-## `#!sds fun` fit {#safeds.data.tabular.transformation.RangeScaler.fit data-toc-label='fit'}
+## `fit` {#safeds.data.tabular.transformation.RangeScaler.fit data-toc-label='[function] fit'}
Learn a transformation for a set of columns in a table.
@@ -123,7 +123,7 @@ This transformer is not modified.
) -> fittedTransformer: RangeScaler
```
-## `#!sds fun` fitAndTransform {#safeds.data.tabular.transformation.RangeScaler.fitAndTransform data-toc-label='fitAndTransform'}
+## `fitAndTransform` {#safeds.data.tabular.transformation.RangeScaler.fitAndTransform data-toc-label='[function] fitAndTransform'}
Learn a transformation for a set of columns in a table and apply the learned transformation to the same table.
@@ -154,7 +154,7 @@ Learn a transformation for a set of columns in a table and apply the learned tra
) -> (fittedTransformer: RangeScaler, transformedTable: Table)
```
-## `#!sds fun` inverseTransform {#safeds.data.tabular.transformation.RangeScaler.inverseTransform data-toc-label='inverseTransform'}
+## `inverseTransform` {#safeds.data.tabular.transformation.RangeScaler.inverseTransform data-toc-label='[function] inverseTransform'}
Undo the learned transformation as well as possible.
@@ -184,7 +184,7 @@ Column order and types may differ from the original table. Likewise, some values
) -> originalTable: Table
```
-## `#!sds fun` transform {#safeds.data.tabular.transformation.RangeScaler.transform data-toc-label='transform'}
+## `transform` {#safeds.data.tabular.transformation.RangeScaler.transform data-toc-label='[function] transform'}
Apply the learned transformation to a table.
diff --git a/docs/api/safeds/data/tabular/transformation/SimpleImputer.md b/docs/api/safeds/data/tabular/transformation/SimpleImputer.md
index 6aa8a9c82..2037f8e33 100644
--- a/docs/api/safeds/data/tabular/transformation/SimpleImputer.md
+++ b/docs/api/safeds/data/tabular/transformation/SimpleImputer.md
@@ -1,4 +1,4 @@
-# `#!sds class` SimpleImputer {#safeds.data.tabular.transformation.SimpleImputer data-toc-label='SimpleImputer'}
+# `SimpleImputer` {#safeds.data.tabular.transformation.SimpleImputer data-toc-label='[class] SimpleImputer'}
Replace missing values with the given strategy.
@@ -113,25 +113,25 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.data.tabular.transformation.SimpleImputer.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.data.tabular.transformation.SimpleImputer.isFitted data-toc-label='[attribute] isFitted'}
Whether the transformer is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` strategy {#safeds.data.tabular.transformation.SimpleImputer.strategy data-toc-label='strategy'}
+## `strategy` {#safeds.data.tabular.transformation.SimpleImputer.strategy data-toc-label='[attribute] strategy'}
The strategy used to replace missing values.
**Type:** [`Strategy`][safeds.data.tabular.transformation.SimpleImputer.Strategy]
-## `#!sds attr` valueToReplace {#safeds.data.tabular.transformation.SimpleImputer.valueToReplace data-toc-label='valueToReplace'}
+## `valueToReplace` {#safeds.data.tabular.transformation.SimpleImputer.valueToReplace data-toc-label='[attribute] valueToReplace'}
The value that should be replaced.
**Type:** [`Any`][safeds.lang.Any]
-## `#!sds fun` fit {#safeds.data.tabular.transformation.SimpleImputer.fit data-toc-label='fit'}
+## `fit` {#safeds.data.tabular.transformation.SimpleImputer.fit data-toc-label='[function] fit'}
Learn a transformation for a set of columns in a table.
@@ -160,7 +160,7 @@ This transformer is not modified.
) -> fittedTransformer: SimpleImputer
```
-## `#!sds fun` fitAndTransform {#safeds.data.tabular.transformation.SimpleImputer.fitAndTransform data-toc-label='fitAndTransform'}
+## `fitAndTransform` {#safeds.data.tabular.transformation.SimpleImputer.fitAndTransform data-toc-label='[function] fitAndTransform'}
Learn a transformation for a set of columns in a table and apply the learned transformation to the same table.
@@ -191,7 +191,7 @@ Learn a transformation for a set of columns in a table and apply the learned tra
) -> (fittedTransformer: SimpleImputer, transformedTable: Table)
```
-## `#!sds fun` transform {#safeds.data.tabular.transformation.SimpleImputer.transform data-toc-label='transform'}
+## `transform` {#safeds.data.tabular.transformation.SimpleImputer.transform data-toc-label='[function] transform'}
Apply the learned transformation to a table.
@@ -218,7 +218,7 @@ Apply the learned transformation to a table.
) -> transformedTable: Table
```
-## `#!sds enum` Strategy {#safeds.data.tabular.transformation.SimpleImputer.Strategy data-toc-label='Strategy'}
+## `Strategy` {#safeds.data.tabular.transformation.SimpleImputer.Strategy data-toc-label='[enum] Strategy'}
Various strategies to replace missing values.
@@ -254,7 +254,7 @@ Various strategies to replace missing values.
}
```
-### Constant {#safeds.data.tabular.transformation.SimpleImputer.Strategy.Constant data-toc-label='Constant'}
+### `Constant` {#safeds.data.tabular.transformation.SimpleImputer.Strategy.Constant data-toc-label='[variant] Constant'}
Replace missing values with the given constant value.
@@ -264,14 +264,14 @@ Replace missing values with the given constant value.
|------|------|-------------|---------|
| `value` | [`Any`][safeds.lang.Any] | The value to replace missing values. | - |
-### Mean {#safeds.data.tabular.transformation.SimpleImputer.Strategy.Mean data-toc-label='Mean'}
+### `Mean` {#safeds.data.tabular.transformation.SimpleImputer.Strategy.Mean data-toc-label='[variant] Mean'}
Replace missing values with the mean of each column.
-### Median {#safeds.data.tabular.transformation.SimpleImputer.Strategy.Median data-toc-label='Median'}
+### `Median` {#safeds.data.tabular.transformation.SimpleImputer.Strategy.Median data-toc-label='[variant] Median'}
Replace missing values with the median of each column.
-### Mode {#safeds.data.tabular.transformation.SimpleImputer.Strategy.Mode data-toc-label='Mode'}
+### `Mode` {#safeds.data.tabular.transformation.SimpleImputer.Strategy.Mode data-toc-label='[variant] Mode'}
Replace missing values with the mode of each column.
diff --git a/docs/api/safeds/data/tabular/transformation/StandardScaler.md b/docs/api/safeds/data/tabular/transformation/StandardScaler.md
index 14c4f66e8..4ecd2e82c 100644
--- a/docs/api/safeds/data/tabular/transformation/StandardScaler.md
+++ b/docs/api/safeds/data/tabular/transformation/StandardScaler.md
@@ -1,4 +1,4 @@
-# `#!sds class` StandardScaler {#safeds.data.tabular.transformation.StandardScaler data-toc-label='StandardScaler'}
+# `StandardScaler` {#safeds.data.tabular.transformation.StandardScaler data-toc-label='[class] StandardScaler'}
The StandardScaler transforms column values to a range by removing the mean and scaling to unit variance.
@@ -57,13 +57,13 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.data.tabular.transformation.StandardScaler.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.data.tabular.transformation.StandardScaler.isFitted data-toc-label='[attribute] isFitted'}
Whether the transformer is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds fun` fit {#safeds.data.tabular.transformation.StandardScaler.fit data-toc-label='fit'}
+## `fit` {#safeds.data.tabular.transformation.StandardScaler.fit data-toc-label='[function] fit'}
Learn a transformation for a set of columns in a table.
@@ -92,7 +92,7 @@ This transformer is not modified.
) -> fittedTransformer: StandardScaler
```
-## `#!sds fun` fitAndTransform {#safeds.data.tabular.transformation.StandardScaler.fitAndTransform data-toc-label='fitAndTransform'}
+## `fitAndTransform` {#safeds.data.tabular.transformation.StandardScaler.fitAndTransform data-toc-label='[function] fitAndTransform'}
Learn a transformation for a set of columns in a table and apply the learned transformation to the same table.
@@ -123,7 +123,7 @@ Learn a transformation for a set of columns in a table and apply the learned tra
) -> (fittedTransformer: StandardScaler, transformedTable: Table)
```
-## `#!sds fun` inverseTransform {#safeds.data.tabular.transformation.StandardScaler.inverseTransform data-toc-label='inverseTransform'}
+## `inverseTransform` {#safeds.data.tabular.transformation.StandardScaler.inverseTransform data-toc-label='[function] inverseTransform'}
Undo the learned transformation as well as possible.
@@ -153,7 +153,7 @@ Column order and types may differ from the original table. Likewise, some values
) -> originalTable: Table
```
-## `#!sds fun` transform {#safeds.data.tabular.transformation.StandardScaler.transform data-toc-label='transform'}
+## `transform` {#safeds.data.tabular.transformation.StandardScaler.transform data-toc-label='[function] transform'}
Apply the learned transformation to a table.
diff --git a/docs/api/safeds/data/tabular/transformation/TableTransformer.md b/docs/api/safeds/data/tabular/transformation/TableTransformer.md
index 29683033b..2522e05ba 100644
--- a/docs/api/safeds/data/tabular/transformation/TableTransformer.md
+++ b/docs/api/safeds/data/tabular/transformation/TableTransformer.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` TableTransformer {#safeds.data.tabular.transformation.TableTransformer data-toc-label='TableTransformer'}
+# `TableTransformer` {#safeds.data.tabular.transformation.TableTransformer data-toc-label='[class] TableTransformer'}
Learn a transformation for a set of columns in a `Table` and transform another `Table` with the same columns.
@@ -72,13 +72,13 @@ Learn a transformation for a set of columns in a `Table` and transform another `
}
```
-## `#!sds attr` isFitted {#safeds.data.tabular.transformation.TableTransformer.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.data.tabular.transformation.TableTransformer.isFitted data-toc-label='[attribute] isFitted'}
Whether the transformer is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds fun` fit {#safeds.data.tabular.transformation.TableTransformer.fit data-toc-label='fit'}
+## `fit` {#safeds.data.tabular.transformation.TableTransformer.fit data-toc-label='[function] fit'}
Learn a transformation for a set of columns in a table.
@@ -107,7 +107,7 @@ Learn a transformation for a set of columns in a table.
) -> fittedTransformer: TableTransformer
```
-## `#!sds fun` fitAndTransform {#safeds.data.tabular.transformation.TableTransformer.fitAndTransform data-toc-label='fitAndTransform'}
+## `fitAndTransform` {#safeds.data.tabular.transformation.TableTransformer.fitAndTransform data-toc-label='[function] fitAndTransform'}
Learn a transformation for a set of columns in a table and apply the learned transformation to the same table.
@@ -138,7 +138,7 @@ Learn a transformation for a set of columns in a table and apply the learned tra
) -> (fittedTransformer: TableTransformer, transformedTable: Table)
```
-## `#!sds fun` transform {#safeds.data.tabular.transformation.TableTransformer.transform data-toc-label='transform'}
+## `transform` {#safeds.data.tabular.transformation.TableTransformer.transform data-toc-label='[function] transform'}
Apply the learned transformation to a table.
diff --git a/docs/api/safeds/data/tabular/typing/DataType.md b/docs/api/safeds/data/tabular/typing/DataType.md
index 3fe188c29..3e4571d65 100644
--- a/docs/api/safeds/data/tabular/typing/DataType.md
+++ b/docs/api/safeds/data/tabular/typing/DataType.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` DataType {#safeds.data.tabular.typing.DataType data-toc-label='DataType'}
+# `DataType` {#safeds.data.tabular.typing.DataType data-toc-label='[class] DataType'}
The type of a column or cell in a table.
@@ -22,13 +22,13 @@ The type of a column or cell in a table.
}
```
-## `#!sds attr` isNumeric {#safeds.data.tabular.typing.DataType.isNumeric data-toc-label='isNumeric'}
+## `isNumeric` {#safeds.data.tabular.typing.DataType.isNumeric data-toc-label='[attribute] isNumeric'}
Whether the column type is numeric.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` isTemporal {#safeds.data.tabular.typing.DataType.isTemporal data-toc-label='isTemporal'}
+## `isTemporal` {#safeds.data.tabular.typing.DataType.isTemporal data-toc-label='[attribute] isTemporal'}
Whether the column type is temporal.
diff --git a/docs/api/safeds/data/tabular/typing/Schema.md b/docs/api/safeds/data/tabular/typing/Schema.md
index 807290e73..c3c7edd2a 100644
--- a/docs/api/safeds/data/tabular/typing/Schema.md
+++ b/docs/api/safeds/data/tabular/typing/Schema.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` Schema {#safeds.data.tabular.typing.Schema data-toc-label='Schema'}
+# `Schema` {#safeds.data.tabular.typing.Schema data-toc-label='[class] Schema'}
The schema of a row or table.
@@ -71,13 +71,13 @@ The schema of a row or table.
}
```
-## `#!sds attr` columnNames {#safeds.data.tabular.typing.Schema.columnNames data-toc-label='columnNames'}
+## `columnNames` {#safeds.data.tabular.typing.Schema.columnNames data-toc-label='[attribute] columnNames'}
Return a list of all column names contained in this schema.
**Type:** [`List`][safeds.lang.List]
-## `#!sds fun` getColumnType {#safeds.data.tabular.typing.Schema.getColumnType data-toc-label='getColumnType'}
+## `getColumnType` {#safeds.data.tabular.typing.Schema.getColumnType data-toc-label='[function] getColumnType'}
Return the type of the given column.
@@ -112,7 +112,7 @@ pipeline example {
) -> type: DataType
```
-## `#!sds fun` hasColumn {#safeds.data.tabular.typing.Schema.hasColumn data-toc-label='hasColumn'}
+## `hasColumn` {#safeds.data.tabular.typing.Schema.hasColumn data-toc-label='[function] hasColumn'}
Return whether the schema contains a given column.
@@ -147,7 +147,7 @@ pipeline example {
) -> contains: Boolean
```
-## `#!sds fun` toMap {#safeds.data.tabular.typing.Schema.toMap data-toc-label='toMap'}
+## `toMap` {#safeds.data.tabular.typing.Schema.toMap data-toc-label='[function] toMap'}
Return a dictionary that maps column names to column types.
diff --git a/docs/api/safeds/lang/AnnotationTarget.md b/docs/api/safeds/lang/AnnotationTarget.md
index c4660b018..804f1fbdd 100644
--- a/docs/api/safeds/lang/AnnotationTarget.md
+++ b/docs/api/safeds/lang/AnnotationTarget.md
@@ -1,4 +1,4 @@
-# `#!sds enum` AnnotationTarget {#safeds.lang.AnnotationTarget data-toc-label='AnnotationTarget'}
+# `AnnotationTarget` {#safeds.lang.AnnotationTarget data-toc-label='[enum] AnnotationTarget'}
The declaration types that can be targeted by annotations.
@@ -74,54 +74,54 @@ The declaration types that can be targeted by annotations.
}
```
-## Annotation {#safeds.lang.AnnotationTarget.Annotation data-toc-label='Annotation'}
+## `Annotation` {#safeds.lang.AnnotationTarget.Annotation data-toc-label='[variant] Annotation'}
The annotation can be called on annotations.
-## Attribute {#safeds.lang.AnnotationTarget.Attribute data-toc-label='Attribute'}
+## `Attribute` {#safeds.lang.AnnotationTarget.Attribute data-toc-label='[variant] Attribute'}
The annotation can be called on attributes.
-## Class {#safeds.lang.AnnotationTarget.Class data-toc-label='Class'}
+## `Class` {#safeds.lang.AnnotationTarget.Class data-toc-label='[variant] Class'}
The annotation can be called on classes.
-## Enum {#safeds.lang.AnnotationTarget.Enum data-toc-label='Enum'}
+## `Enum` {#safeds.lang.AnnotationTarget.Enum data-toc-label='[variant] Enum'}
The annotation can be called on enums.
-## EnumVariant {#safeds.lang.AnnotationTarget.EnumVariant data-toc-label='EnumVariant'}
+## `EnumVariant` {#safeds.lang.AnnotationTarget.EnumVariant data-toc-label='[variant] EnumVariant'}
The annotation can be called on enum variants.
-## Function {#safeds.lang.AnnotationTarget.Function data-toc-label='Function'}
+## `Function` {#safeds.lang.AnnotationTarget.Function data-toc-label='[variant] Function'}
The annotation can be called on functions.
-## Module {#safeds.lang.AnnotationTarget.Module data-toc-label='Module'}
+## `Module` {#safeds.lang.AnnotationTarget.Module data-toc-label='[variant] Module'}
The annotation can be called on modules (i.e. files).
-## Parameter {#safeds.lang.AnnotationTarget.Parameter data-toc-label='Parameter'}
+## `Parameter` {#safeds.lang.AnnotationTarget.Parameter data-toc-label='[variant] Parameter'}
The annotation can be called on parameters.
-## Pipeline {#safeds.lang.AnnotationTarget.Pipeline data-toc-label='Pipeline'}
+## `Pipeline` {#safeds.lang.AnnotationTarget.Pipeline data-toc-label='[variant] Pipeline'}
The annotation can be called on pipelines.
-## Result {#safeds.lang.AnnotationTarget.Result data-toc-label='Result'}
+## `Result` {#safeds.lang.AnnotationTarget.Result data-toc-label='[variant] Result'}
The annotation can be called on results.
-## Schema {#safeds.lang.AnnotationTarget.Schema data-toc-label='Schema'}
+## `Schema` {#safeds.lang.AnnotationTarget.Schema data-toc-label='[variant] Schema'}
The annotation can be called on schemas.
-## Segment {#safeds.lang.AnnotationTarget.Segment data-toc-label='Segment'}
+## `Segment` {#safeds.lang.AnnotationTarget.Segment data-toc-label='[variant] Segment'}
The annotation can be called on segments.
-## TypeParameter {#safeds.lang.AnnotationTarget.TypeParameter data-toc-label='TypeParameter'}
+## `TypeParameter` {#safeds.lang.AnnotationTarget.TypeParameter data-toc-label='[variant] TypeParameter'}
The annotation can be called on type parameters.
diff --git a/docs/api/safeds/lang/Any.md b/docs/api/safeds/lang/Any.md
index 0f7c65aed..e64857f32 100644
--- a/docs/api/safeds/lang/Any.md
+++ b/docs/api/safeds/lang/Any.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` Any {#safeds.lang.Any data-toc-label='Any'}
+# `Any` {#safeds.lang.Any data-toc-label='[class] Any'}
The common superclass of all classes.
@@ -43,7 +43,7 @@ The common superclass of all classes.
}
```
-## `#!sds fun` toBoolean {#safeds.lang.Any.toBoolean data-toc-label='toBoolean'}
+## `toBoolean` {#safeds.lang.Any.toBoolean data-toc-label='[function] toBoolean'}
Return whether the object is truthy.
@@ -74,7 +74,7 @@ pipeline example {
fun toBoolean() -> boolean: Boolean
```
-## `#!sds fun` toString {#safeds.lang.Any.toString data-toc-label='toString'}
+## `toString` {#safeds.lang.Any.toString data-toc-label='[function] toString'}
Return a string representation of the object.
diff --git a/docs/api/safeds/lang/Boolean.md b/docs/api/safeds/lang/Boolean.md
index 2806a6232..73a46aa81 100644
--- a/docs/api/safeds/lang/Boolean.md
+++ b/docs/api/safeds/lang/Boolean.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` Boolean {#safeds.lang.Boolean data-toc-label='Boolean'}
+# `Boolean` {#safeds.lang.Boolean data-toc-label='[class] Boolean'}
A truth value.
diff --git a/docs/api/safeds/lang/Category.md b/docs/api/safeds/lang/Category.md
index 8649bb5cc..b6da53426 100644
--- a/docs/api/safeds/lang/Category.md
+++ b/docs/api/safeds/lang/Category.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds annotation` Category {#safeds.lang.Category data-toc-label='Category'}
+# :test_tube:{ title="Experimental" } `Category` {#safeds.lang.Category data-toc-label='[annotation] Category'}
The category of a declaration. It can be used for grouping.
diff --git a/docs/api/safeds/lang/DataScienceCategory.md b/docs/api/safeds/lang/DataScienceCategory.md
index f74a624f1..c042d6e79 100644
--- a/docs/api/safeds/lang/DataScienceCategory.md
+++ b/docs/api/safeds/lang/DataScienceCategory.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds enum` DataScienceCategory {#safeds.lang.DataScienceCategory data-toc-label='DataScienceCategory'}
+# :test_tube:{ title="Experimental" } `DataScienceCategory` {#safeds.lang.DataScienceCategory data-toc-label='[enum] DataScienceCategory'}
A step in the data science process.
@@ -38,26 +38,26 @@ A step in the data science process.
}
```
-## DataExploration {#safeds.lang.DataScienceCategory.DataExploration data-toc-label='DataExploration'}
+## `DataExploration` {#safeds.lang.DataScienceCategory.DataExploration data-toc-label='[variant] DataExploration'}
Explore your data.
-## DataExport {#safeds.lang.DataScienceCategory.DataExport data-toc-label='DataExport'}
+## `DataExport` {#safeds.lang.DataScienceCategory.DataExport data-toc-label='[variant] DataExport'}
Save your data for later use.
-## DataImport {#safeds.lang.DataScienceCategory.DataImport data-toc-label='DataImport'}
+## `DataImport` {#safeds.lang.DataScienceCategory.DataImport data-toc-label='[variant] DataImport'}
Load your data into the program.
-## DataPreparation {#safeds.lang.DataScienceCategory.DataPreparation data-toc-label='DataPreparation'}
+## `DataPreparation` {#safeds.lang.DataScienceCategory.DataPreparation data-toc-label='[variant] DataPreparation'}
Prepare your data for analysis.
-## ModelEvaluation {#safeds.lang.DataScienceCategory.ModelEvaluation data-toc-label='ModelEvaluation'}
+## `ModelEvaluation` {#safeds.lang.DataScienceCategory.ModelEvaluation data-toc-label='[variant] ModelEvaluation'}
Evaluate the performance of your model.
-## Modeling {#safeds.lang.DataScienceCategory.Modeling data-toc-label='Modeling'}
+## `Modeling` {#safeds.lang.DataScienceCategory.Modeling data-toc-label='[variant] Modeling'}
Configure a model and train it on your data.
diff --git a/docs/api/safeds/lang/Deprecated.md b/docs/api/safeds/lang/Deprecated.md
index e884ae2c3..4fcc4776b 100644
--- a/docs/api/safeds/lang/Deprecated.md
+++ b/docs/api/safeds/lang/Deprecated.md
@@ -1,4 +1,4 @@
-# `#!sds annotation` Deprecated {#safeds.lang.Deprecated data-toc-label='Deprecated'}
+# `Deprecated` {#safeds.lang.Deprecated data-toc-label='[annotation] Deprecated'}
The declaration should no longer be used.
diff --git a/docs/api/safeds/lang/Experimental.md b/docs/api/safeds/lang/Experimental.md
index 6bf2eaec0..1ae8b37cf 100644
--- a/docs/api/safeds/lang/Experimental.md
+++ b/docs/api/safeds/lang/Experimental.md
@@ -1,4 +1,4 @@
-# `#!sds annotation` Experimental {#safeds.lang.Experimental data-toc-label='Experimental'}
+# `Experimental` {#safeds.lang.Experimental data-toc-label='[annotation] Experimental'}
The declaration might change without a major version bump.
diff --git a/docs/api/safeds/lang/Expert.md b/docs/api/safeds/lang/Expert.md
index fffd37d13..c8ab65535 100644
--- a/docs/api/safeds/lang/Expert.md
+++ b/docs/api/safeds/lang/Expert.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds annotation` Expert {#safeds.lang.Expert data-toc-label='Expert'}
+# :test_tube:{ title="Experimental" } `Expert` {#safeds.lang.Expert data-toc-label='[annotation] Expert'}
This parameter should only be used by expert users.
diff --git a/docs/api/safeds/lang/Float.md b/docs/api/safeds/lang/Float.md
index 2ce60db29..d4ff79a52 100644
--- a/docs/api/safeds/lang/Float.md
+++ b/docs/api/safeds/lang/Float.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` Float {#safeds.lang.Float data-toc-label='Float'}
+# `Float` {#safeds.lang.Float data-toc-label='[class] Float'}
A floating-point number.
@@ -36,7 +36,7 @@ pipeline example {
}
```
-## `#!sds fun` toInt {#safeds.lang.Float.toInt data-toc-label='toInt'}
+## `toInt` {#safeds.lang.Float.toInt data-toc-label='[function] toInt'}
Convert this floating-point number to an integer by truncating the fractional part.
diff --git a/docs/api/safeds/lang/Impure.md b/docs/api/safeds/lang/Impure.md
index 8ad880d66..020897c44 100644
--- a/docs/api/safeds/lang/Impure.md
+++ b/docs/api/safeds/lang/Impure.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds annotation` Impure {#safeds.lang.Impure data-toc-label='Impure'}
+# :test_tube:{ title="Experimental" } `Impure` {#safeds.lang.Impure data-toc-label='[annotation] Impure'}
The function has side effects and/or does not always return the same results given the same arguments.
diff --git a/docs/api/safeds/lang/ImpurityReason.md b/docs/api/safeds/lang/ImpurityReason.md
index 557f91e57..0e4c57bda 100644
--- a/docs/api/safeds/lang/ImpurityReason.md
+++ b/docs/api/safeds/lang/ImpurityReason.md
@@ -1,4 +1,4 @@
-# `#!sds enum` ImpurityReason {#safeds.lang.ImpurityReason data-toc-label='ImpurityReason'}
+# `ImpurityReason` {#safeds.lang.ImpurityReason data-toc-label='[enum] ImpurityReason'}
A reason why a function is impure.
@@ -49,7 +49,7 @@ A reason why a function is impure.
}
```
-## FileReadFromConstantPath {#safeds.lang.ImpurityReason.FileReadFromConstantPath data-toc-label='FileReadFromConstantPath'}
+## `FileReadFromConstantPath` {#safeds.lang.ImpurityReason.FileReadFromConstantPath data-toc-label='[variant] FileReadFromConstantPath'}
The function reads from a file and the file path is a constant.
@@ -59,7 +59,7 @@ The function reads from a file and the file path is a constant.
|------|------|-------------|---------|
| `path` | [`String`][safeds.lang.String] | The path of the file. | - |
-## FileReadFromParameterizedPath {#safeds.lang.ImpurityReason.FileReadFromParameterizedPath data-toc-label='FileReadFromParameterizedPath'}
+## `FileReadFromParameterizedPath` {#safeds.lang.ImpurityReason.FileReadFromParameterizedPath data-toc-label='[variant] FileReadFromParameterizedPath'}
The function reads from a file and the file path is given by a parameter.
@@ -69,7 +69,7 @@ The function reads from a file and the file path is given by a parameter.
|------|------|-------------|---------|
| `parameterName` | [`String`][safeds.lang.String] | The name of the parameter that specifies the file path. | - |
-## FileWriteToConstantPath {#safeds.lang.ImpurityReason.FileWriteToConstantPath data-toc-label='FileWriteToConstantPath'}
+## `FileWriteToConstantPath` {#safeds.lang.ImpurityReason.FileWriteToConstantPath data-toc-label='[variant] FileWriteToConstantPath'}
The function writes to a file and the file path is a constant.
@@ -79,7 +79,7 @@ The function writes to a file and the file path is a constant.
|------|------|-------------|---------|
| `path` | [`String`][safeds.lang.String] | The path of the file. | - |
-## FileWriteToParameterizedPath {#safeds.lang.ImpurityReason.FileWriteToParameterizedPath data-toc-label='FileWriteToParameterizedPath'}
+## `FileWriteToParameterizedPath` {#safeds.lang.ImpurityReason.FileWriteToParameterizedPath data-toc-label='[variant] FileWriteToParameterizedPath'}
The function writes to a file and the file path is given by a parameter.
@@ -89,11 +89,11 @@ The function writes to a file and the file path is given by a parameter.
|------|------|-------------|---------|
| `parameterName` | [`String`][safeds.lang.String] | The name of the parameter that specifies the file path. | - |
-## Other {#safeds.lang.ImpurityReason.Other data-toc-label='Other'}
+## `Other` {#safeds.lang.ImpurityReason.Other data-toc-label='[variant] Other'}
The function is impure for some other reason. If possible, use a more specific reason.
-## PotentiallyImpureParameterCall {#safeds.lang.ImpurityReason.PotentiallyImpureParameterCall data-toc-label='PotentiallyImpureParameterCall'}
+## `PotentiallyImpureParameterCall` {#safeds.lang.ImpurityReason.PotentiallyImpureParameterCall data-toc-label='[variant] PotentiallyImpureParameterCall'}
The function calls another, potentially impure function that gets passed as a parameter.
diff --git a/docs/api/safeds/lang/Int.md b/docs/api/safeds/lang/Int.md
index 48df8de54..fbd8cffc3 100644
--- a/docs/api/safeds/lang/Int.md
+++ b/docs/api/safeds/lang/Int.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` Int {#safeds.lang.Int data-toc-label='Int'}
+# `Int` {#safeds.lang.Int data-toc-label='[class] Int'}
An integer.
@@ -36,7 +36,7 @@ pipeline example {
}
```
-## `#!sds fun` toFloat {#safeds.lang.Int.toFloat data-toc-label='toFloat'}
+## `toFloat` {#safeds.lang.Int.toFloat data-toc-label='[function] toFloat'}
Convert this integer to a floating-point number.
diff --git a/docs/api/safeds/lang/List.md b/docs/api/safeds/lang/List.md
index 517896f04..691fef771 100644
--- a/docs/api/safeds/lang/List.md
+++ b/docs/api/safeds/lang/List.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` List {#safeds.lang.List data-toc-label='List'}
+# `List` {#safeds.lang.List data-toc-label='[class] List'}
A list of elements.
@@ -72,7 +72,7 @@ pipeline example {
}
```
-## `#!sds fun` join {#safeds.lang.List.join data-toc-label='join'}
+## `join` {#safeds.lang.List.join data-toc-label='[function] join'}
Join the elements of the list into a string using the separator.
@@ -109,7 +109,7 @@ pipeline example {
fun join(separator: String = ", ") -> string: String
```
-## `#!sds fun` size {#safeds.lang.List.size data-toc-label='size'}
+## `size` {#safeds.lang.List.size data-toc-label='[function] size'}
Return the number of elements in the list.
@@ -135,7 +135,7 @@ pipeline example {
fun size() -> size: Int
```
-## `#!sds fun` slice {#safeds.lang.List.slice data-toc-label='slice'}
+## `slice` {#safeds.lang.List.slice data-toc-label='[function] slice'}
Return the slice of the list starting at the start index up to but excluding the end index.
diff --git a/docs/api/safeds/lang/Map.md b/docs/api/safeds/lang/Map.md
index f2a17326b..2a57aa09c 100644
--- a/docs/api/safeds/lang/Map.md
+++ b/docs/api/safeds/lang/Map.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` Map {#safeds.lang.Map data-toc-label='Map'}
+# `Map` {#safeds.lang.Map data-toc-label='[class] Map'}
A map of keys to values.
@@ -84,7 +84,7 @@ pipeline example {
}
```
-## `#!sds fun` keys {#safeds.lang.Map.keys data-toc-label='keys'}
+## `keys` {#safeds.lang.Map.keys data-toc-label='[function] keys'}
Return the keys of the map.
@@ -115,7 +115,7 @@ pipeline example {
fun keys() -> keys: List
```
-## `#!sds fun` size {#safeds.lang.Map.size data-toc-label='size'}
+## `size` {#safeds.lang.Map.size data-toc-label='[function] size'}
Return the number of entries in the map.
@@ -146,7 +146,7 @@ pipeline example {
fun size() -> size: Int
```
-## `#!sds fun` values {#safeds.lang.Map.values data-toc-label='values'}
+## `values` {#safeds.lang.Map.values data-toc-label='[function] values'}
Return the values of the map.
diff --git a/docs/api/safeds/lang/Nothing.md b/docs/api/safeds/lang/Nothing.md
index 884749d90..7b492ec45 100644
--- a/docs/api/safeds/lang/Nothing.md
+++ b/docs/api/safeds/lang/Nothing.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` Nothing {#safeds.lang.Nothing data-toc-label='Nothing'}
+# `Nothing` {#safeds.lang.Nothing data-toc-label='[class] Nothing'}
The common subclass of all classes.
diff --git a/docs/api/safeds/lang/Number.md b/docs/api/safeds/lang/Number.md
index a33a2d9f6..5703ced3b 100644
--- a/docs/api/safeds/lang/Number.md
+++ b/docs/api/safeds/lang/Number.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` Number {#safeds.lang.Number data-toc-label='Number'}
+# `Number` {#safeds.lang.Number data-toc-label='[class] Number'}
A number.
diff --git a/docs/api/safeds/lang/Pure.md b/docs/api/safeds/lang/Pure.md
index 93e5ae1fe..a2a049fa5 100644
--- a/docs/api/safeds/lang/Pure.md
+++ b/docs/api/safeds/lang/Pure.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds annotation` Pure {#safeds.lang.Pure data-toc-label='Pure'}
+# :test_tube:{ title="Experimental" } `Pure` {#safeds.lang.Pure data-toc-label='[annotation] Pure'}
The function has no side effects and always returns the same results given the same arguments.
diff --git a/docs/api/safeds/lang/PythonMacro.md b/docs/api/safeds/lang/PythonMacro.md
index 77b6339cf..836cd36ba 100644
--- a/docs/api/safeds/lang/PythonMacro.md
+++ b/docs/api/safeds/lang/PythonMacro.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds annotation` PythonMacro {#safeds.lang.PythonMacro data-toc-label='PythonMacro'}
+# :test_tube:{ title="Experimental" } `PythonMacro` {#safeds.lang.PythonMacro data-toc-label='[annotation] PythonMacro'}
The specification of the corresponding Python code. By default, the function is called as specified in the stubs.
diff --git a/docs/api/safeds/lang/PythonModule.md b/docs/api/safeds/lang/PythonModule.md
index a96abeac5..0990eeecb 100644
--- a/docs/api/safeds/lang/PythonModule.md
+++ b/docs/api/safeds/lang/PythonModule.md
@@ -1,4 +1,4 @@
-# `#!sds annotation` PythonModule {#safeds.lang.PythonModule data-toc-label='PythonModule'}
+# `PythonModule` {#safeds.lang.PythonModule data-toc-label='[annotation] PythonModule'}
The qualified name of the corresponding Python module. By default, this is the qualified name of the package in the
stubs.
diff --git a/docs/api/safeds/lang/PythonName.md b/docs/api/safeds/lang/PythonName.md
index a280ffee6..2bb1b0f32 100644
--- a/docs/api/safeds/lang/PythonName.md
+++ b/docs/api/safeds/lang/PythonName.md
@@ -1,4 +1,4 @@
-# `#!sds annotation` PythonName {#safeds.lang.PythonName data-toc-label='PythonName'}
+# `PythonName` {#safeds.lang.PythonName data-toc-label='[annotation] PythonName'}
The name of the corresponding API element in Python. By default, this is the name of the declaration in the stubs.
diff --git a/docs/api/safeds/lang/Repeatable.md b/docs/api/safeds/lang/Repeatable.md
index 3f8944d63..a155e0161 100644
--- a/docs/api/safeds/lang/Repeatable.md
+++ b/docs/api/safeds/lang/Repeatable.md
@@ -1,4 +1,4 @@
-# `#!sds annotation` Repeatable {#safeds.lang.Repeatable data-toc-label='Repeatable'}
+# `Repeatable` {#safeds.lang.Repeatable data-toc-label='[annotation] Repeatable'}
The annotation can be called multiple times for the same declaration.
diff --git a/docs/api/safeds/lang/String.md b/docs/api/safeds/lang/String.md
index 674bcd379..43145d12d 100644
--- a/docs/api/safeds/lang/String.md
+++ b/docs/api/safeds/lang/String.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` String {#safeds.lang.String data-toc-label='String'}
+# `String` {#safeds.lang.String data-toc-label='[class] String'}
Some text.
@@ -270,7 +270,7 @@ pipeline example {
}
```
-## `#!sds fun` contains {#safeds.lang.String.contains data-toc-label='contains'}
+## `contains` {#safeds.lang.String.contains data-toc-label='[function] contains'}
Check if the string contains the substring.
@@ -302,7 +302,7 @@ pipeline example {
fun contains(substring: String) -> contains: Boolean
```
-## `#!sds fun` endsWith {#safeds.lang.String.endsWith data-toc-label='endsWith'}
+## `endsWith` {#safeds.lang.String.endsWith data-toc-label='[function] endsWith'}
Check if the string ends with the suffix.
@@ -334,7 +334,7 @@ pipeline example {
fun endsWith(suffix: String) -> endsWith: Boolean
```
-## `#!sds fun` indexOf {#safeds.lang.String.indexOf data-toc-label='indexOf'}
+## `indexOf` {#safeds.lang.String.indexOf data-toc-label='[function] indexOf'}
Return the index of the first occurrence of the substring in the string or -1 if the substring is not found.
@@ -366,7 +366,7 @@ pipeline example {
fun indexOf(substring: String) -> index: Int
```
-## `#!sds fun` lastIndexOf {#safeds.lang.String.lastIndexOf data-toc-label='lastIndexOf'}
+## `lastIndexOf` {#safeds.lang.String.lastIndexOf data-toc-label='[function] lastIndexOf'}
Return the index of the last occurrence of the substring in the string or -1 if the substring is not found.
@@ -398,7 +398,7 @@ pipeline example {
fun lastIndexOf(substring: String) -> index: Int
```
-## `#!sds fun` length {#safeds.lang.String.length data-toc-label='length'}
+## `length` {#safeds.lang.String.length data-toc-label='[function] length'}
Return the number of characters in the string.
@@ -424,7 +424,7 @@ pipeline example {
fun length() -> length: Int
```
-## `#!sds fun` repeat {#safeds.lang.String.repeat data-toc-label='repeat'}
+## `repeat` {#safeds.lang.String.repeat data-toc-label='[function] repeat'}
Repeat the string n times.
@@ -456,7 +456,7 @@ pipeline example {
fun repeat(n: Int) -> repeatedString: String
```
-## `#!sds fun` replace {#safeds.lang.String.replace data-toc-label='replace'}
+## `replace` {#safeds.lang.String.replace data-toc-label='[function] replace'}
Replace all occurrences of the old substring with the new substring.
@@ -489,7 +489,7 @@ pipeline example {
fun replace(old: String, new: String) -> replacedString: String
```
-## `#!sds fun` split {#safeds.lang.String.split data-toc-label='split'}
+## `split` {#safeds.lang.String.split data-toc-label='[function] split'}
Split the string into parts using the separator.
@@ -521,7 +521,7 @@ pipeline example {
fun split(separator: String) -> parts: List
```
-## `#!sds fun` startsWith {#safeds.lang.String.startsWith data-toc-label='startsWith'}
+## `startsWith` {#safeds.lang.String.startsWith data-toc-label='[function] startsWith'}
Check if the string starts with the prefix.
@@ -553,7 +553,7 @@ pipeline example {
fun startsWith(prefix: String) -> startsWith: Boolean
```
-## `#!sds fun` substring {#safeds.lang.String.substring data-toc-label='substring'}
+## `substring` {#safeds.lang.String.substring data-toc-label='[function] substring'}
Return the substring of the string starting at the start index up to but excluding the end index.
@@ -586,7 +586,7 @@ pipeline example {
fun substring(start: Int = 0, end: Int = this.length()) -> substring: String
```
-## `#!sds fun` toCasefolded {#safeds.lang.String.toCasefolded data-toc-label='toCasefolded'}
+## `toCasefolded` {#safeds.lang.String.toCasefolded data-toc-label='[function] toCasefolded'}
Normalize the casing of a string to make it suitable for case-insensitive matching. This is essentially a more
aggressive form of lowercasing. For example, the German lowercase letter "ß" gets converted to "ss".
@@ -620,7 +620,7 @@ pipeline example {
fun toCasefolded() -> casefolded: String
```
-## `#!sds fun` toFloat {#safeds.lang.String.toFloat data-toc-label='toFloat'}
+## `toFloat` {#safeds.lang.String.toFloat data-toc-label='[function] toFloat'}
Parse the string to a floating-point number.
@@ -646,7 +646,7 @@ pipeline example {
fun toFloat() -> float: Float
```
-## `#!sds fun` toInt {#safeds.lang.String.toInt data-toc-label='toInt'}
+## `toInt` {#safeds.lang.String.toInt data-toc-label='[function] toInt'}
Parse the string to an integer.
@@ -683,7 +683,7 @@ pipeline example {
fun toInt(base: Int = 10) -> int: Int
```
-## `#!sds fun` toLowercase {#safeds.lang.String.toLowercase data-toc-label='toLowercase'}
+## `toLowercase` {#safeds.lang.String.toLowercase data-toc-label='[function] toLowercase'}
Convert the string to lowercase. Prefer [String.toCasefolded][safeds.lang.String.toCasefolded] for case-insensitive matching.
@@ -716,7 +716,7 @@ pipeline example {
fun toLowercase() -> lowercase: String
```
-## `#!sds fun` toUppercase {#safeds.lang.String.toUppercase data-toc-label='toUppercase'}
+## `toUppercase` {#safeds.lang.String.toUppercase data-toc-label='[function] toUppercase'}
Convert the string to uppercase. Prefer [String.toCasefolded][safeds.lang.String.toCasefolded] for case-insensitive matching.
@@ -749,7 +749,7 @@ pipeline example {
fun toUppercase() -> uppercase: String
```
-## `#!sds fun` trim {#safeds.lang.String.trim data-toc-label='trim'}
+## `trim` {#safeds.lang.String.trim data-toc-label='[function] trim'}
Trim leading and trailing whitespace from the string.
@@ -775,7 +775,7 @@ pipeline example {
fun trim() -> trimmed: String
```
-## `#!sds fun` trimEnd {#safeds.lang.String.trimEnd data-toc-label='trimEnd'}
+## `trimEnd` {#safeds.lang.String.trimEnd data-toc-label='[function] trimEnd'}
Trim trailing whitespace from the string.
@@ -801,7 +801,7 @@ pipeline example {
fun trimEnd() -> trimmed: String
```
-## `#!sds fun` trimStart {#safeds.lang.String.trimStart data-toc-label='trimStart'}
+## `trimStart` {#safeds.lang.String.trimStart data-toc-label='[function] trimStart'}
Trim leading whitespace from the string.
diff --git a/docs/api/safeds/lang/Tags.md b/docs/api/safeds/lang/Tags.md
index f35c4ec0b..06d39664f 100644
--- a/docs/api/safeds/lang/Tags.md
+++ b/docs/api/safeds/lang/Tags.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds annotation` Tags {#safeds.lang.Tags data-toc-label='Tags'}
+# :test_tube:{ title="Experimental" } `Tags` {#safeds.lang.Tags data-toc-label='[annotation] Tags'}
Tags to associate with a declaration. They can be used for filtering.
diff --git a/docs/api/safeds/lang/Targets.md b/docs/api/safeds/lang/Targets.md
index afde6b852..b86c11812 100644
--- a/docs/api/safeds/lang/Targets.md
+++ b/docs/api/safeds/lang/Targets.md
@@ -1,4 +1,4 @@
-# `#!sds annotation` Targets {#safeds.lang.Targets data-toc-label='Targets'}
+# `Targets` {#safeds.lang.Targets data-toc-label='[annotation] Targets'}
The annotation must target only the specified declaration types. By default, any declaration type can be targeted.
diff --git a/docs/api/safeds/ml/classical/SupervisedModel.md b/docs/api/safeds/ml/classical/SupervisedModel.md
index 133ba5e53..cfcd96567 100644
--- a/docs/api/safeds/ml/classical/SupervisedModel.md
+++ b/docs/api/safeds/ml/classical/SupervisedModel.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` SupervisedModel {#safeds.ml.classical.SupervisedModel data-toc-label='SupervisedModel'}
+# `SupervisedModel` {#safeds.ml.classical.SupervisedModel data-toc-label='[class] SupervisedModel'}
A model for supervised learning tasks.
@@ -95,13 +95,13 @@ A model for supervised learning tasks.
}
```
-## `#!sds attr` isFitted {#safeds.ml.classical.SupervisedModel.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.SupervisedModel.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds fun` fit {#safeds.ml.classical.SupervisedModel.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.SupervisedModel.fit data-toc-label='[function] fit'}
Create a copy of this model and fit it with the given training data.
@@ -128,7 +128,7 @@ Create a copy of this model and fit it with the given training data.
) -> fittedModel: SupervisedModel
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.SupervisedModel.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.SupervisedModel.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -148,7 +148,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.SupervisedModel.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.SupervisedModel.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -168,7 +168,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.SupervisedModel.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.SupervisedModel.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -188,7 +188,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.SupervisedModel.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.SupervisedModel.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -208,7 +208,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` predict {#safeds.ml.classical.SupervisedModel.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.SupervisedModel.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
diff --git a/docs/api/safeds/ml/classical/classification/AdaBoostClassifier.md b/docs/api/safeds/ml/classical/classification/AdaBoostClassifier.md
index 455556a7a..41bc86210 100644
--- a/docs/api/safeds/ml/classical/classification/AdaBoostClassifier.md
+++ b/docs/api/safeds/ml/classical/classification/AdaBoostClassifier.md
@@ -1,4 +1,4 @@
-# `#!sds class` AdaBoostClassifier {#safeds.ml.classical.classification.AdaBoostClassifier data-toc-label='AdaBoostClassifier'}
+# `AdaBoostClassifier` {#safeds.ml.classical.classification.AdaBoostClassifier data-toc-label='[class] AdaBoostClassifier'}
Ada Boost classification.
@@ -63,31 +63,31 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.ml.classical.classification.AdaBoostClassifier.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.classification.AdaBoostClassifier.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` learner {#safeds.ml.classical.classification.AdaBoostClassifier.learner data-toc-label='learner'}
+## `learner` {#safeds.ml.classical.classification.AdaBoostClassifier.learner data-toc-label='[attribute] learner'}
Get the base learner used for training the ensemble.
**Type:** [`Classifier`][safeds.ml.classical.classification.Classifier]
-## `#!sds attr` learningRate {#safeds.ml.classical.classification.AdaBoostClassifier.learningRate data-toc-label='learningRate'}
+## `learningRate` {#safeds.ml.classical.classification.AdaBoostClassifier.learningRate data-toc-label='[attribute] learningRate'}
Get the learning rate.
**Type:** [`Float`][safeds.lang.Float]
-## `#!sds attr` maxLearnerCount {#safeds.ml.classical.classification.AdaBoostClassifier.maxLearnerCount data-toc-label='maxLearnerCount'}
+## `maxLearnerCount` {#safeds.ml.classical.classification.AdaBoostClassifier.maxLearnerCount data-toc-label='[attribute] maxLearnerCount'}
Get the maximum number of learners in the ensemble.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds fun` accuracy {#safeds.ml.classical.classification.AdaBoostClassifier.accuracy data-toc-label='accuracy'}
+## `accuracy` {#safeds.ml.classical.classification.AdaBoostClassifier.accuracy data-toc-label='[function] accuracy'}
Compute the accuracy of the classifier on the given data.
@@ -117,7 +117,7 @@ better. Results range from 0.0 to 1.0.
) -> accuracy: Float
```
-## `#!sds fun` f1Score {#safeds.ml.classical.classification.AdaBoostClassifier.f1Score data-toc-label='f1Score'}
+## `f1Score` {#safeds.ml.classical.classification.AdaBoostClassifier.f1Score data-toc-label='[function] f1Score'}
Compute the classifier's F₁ score on the given data.
@@ -150,7 +150,7 @@ classifier. Results range from 0.0 to 1.0.
) -> f1Score: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.classification.AdaBoostClassifier.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.classification.AdaBoostClassifier.fit data-toc-label='[function] fit'}
Create a copy of this classifier and fit it with the given training data.
@@ -177,7 +177,7 @@ This classifier is not modified.
) -> fittedClassifier: AdaBoostClassifier
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.classification.AdaBoostClassifier.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.classification.AdaBoostClassifier.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -197,7 +197,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.classification.AdaBoostClassifier.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.classification.AdaBoostClassifier.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -217,7 +217,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.classification.AdaBoostClassifier.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.classification.AdaBoostClassifier.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -237,7 +237,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.classification.AdaBoostClassifier.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.classification.AdaBoostClassifier.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -257,7 +257,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` precision {#safeds.ml.classical.classification.AdaBoostClassifier.precision data-toc-label='precision'}
+## `precision` {#safeds.ml.classical.classification.AdaBoostClassifier.precision data-toc-label='[function] precision'}
Compute the classifier's precision on the given data.
@@ -289,7 +289,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> precision: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.classification.AdaBoostClassifier.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.classification.AdaBoostClassifier.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -316,7 +316,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` recall {#safeds.ml.classical.classification.AdaBoostClassifier.recall data-toc-label='recall'}
+## `recall` {#safeds.ml.classical.classification.AdaBoostClassifier.recall data-toc-label='[function] recall'}
Compute the classifier's recall on the given data.
@@ -348,7 +348,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> recall: Float
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.classification.AdaBoostClassifier.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.classification.AdaBoostClassifier.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the classifier's metrics on the given data.
diff --git a/docs/api/safeds/ml/classical/classification/Classifier.md b/docs/api/safeds/ml/classical/classification/Classifier.md
index 4847ce1de..fb360a995 100644
--- a/docs/api/safeds/ml/classical/classification/Classifier.md
+++ b/docs/api/safeds/ml/classical/classification/Classifier.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` Classifier {#safeds.ml.classical.classification.Classifier data-toc-label='Classifier'}
+# `Classifier` {#safeds.ml.classical.classification.Classifier data-toc-label='[class] Classifier'}
A model for classification tasks.
@@ -131,13 +131,13 @@ A model for classification tasks.
}
```
-## `#!sds attr` isFitted {#safeds.ml.classical.classification.Classifier.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.classification.Classifier.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds fun` accuracy {#safeds.ml.classical.classification.Classifier.accuracy data-toc-label='accuracy'}
+## `accuracy` {#safeds.ml.classical.classification.Classifier.accuracy data-toc-label='[function] accuracy'}
Compute the accuracy of the classifier on the given data.
@@ -167,7 +167,7 @@ better. Results range from 0.0 to 1.0.
) -> accuracy: Float
```
-## `#!sds fun` f1Score {#safeds.ml.classical.classification.Classifier.f1Score data-toc-label='f1Score'}
+## `f1Score` {#safeds.ml.classical.classification.Classifier.f1Score data-toc-label='[function] f1Score'}
Compute the classifier's F₁ score on the given data.
@@ -200,7 +200,7 @@ classifier. Results range from 0.0 to 1.0.
) -> f1Score: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.classification.Classifier.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.classification.Classifier.fit data-toc-label='[function] fit'}
Create a copy of this model and fit it with the given training data.
@@ -227,7 +227,7 @@ Create a copy of this model and fit it with the given training data.
) -> fittedModel: Classifier
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.classification.Classifier.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.classification.Classifier.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -247,7 +247,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.classification.Classifier.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.classification.Classifier.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -267,7 +267,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.classification.Classifier.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.classification.Classifier.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -287,7 +287,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.classification.Classifier.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.classification.Classifier.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -307,7 +307,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` precision {#safeds.ml.classical.classification.Classifier.precision data-toc-label='precision'}
+## `precision` {#safeds.ml.classical.classification.Classifier.precision data-toc-label='[function] precision'}
Compute the classifier's precision on the given data.
@@ -339,7 +339,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> precision: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.classification.Classifier.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.classification.Classifier.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -366,7 +366,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` recall {#safeds.ml.classical.classification.Classifier.recall data-toc-label='recall'}
+## `recall` {#safeds.ml.classical.classification.Classifier.recall data-toc-label='[function] recall'}
Compute the classifier's recall on the given data.
@@ -398,7 +398,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> recall: Float
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.classification.Classifier.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.classification.Classifier.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the classifier's metrics on the given data.
diff --git a/docs/api/safeds/ml/classical/classification/DecisionTreeClassifier.md b/docs/api/safeds/ml/classical/classification/DecisionTreeClassifier.md
index 5459f06b0..f8a2c1c11 100644
--- a/docs/api/safeds/ml/classical/classification/DecisionTreeClassifier.md
+++ b/docs/api/safeds/ml/classical/classification/DecisionTreeClassifier.md
@@ -1,4 +1,4 @@
-# `#!sds class` DecisionTreeClassifier {#safeds.ml.classical.classification.DecisionTreeClassifier data-toc-label='DecisionTreeClassifier'}
+# `DecisionTreeClassifier` {#safeds.ml.classical.classification.DecisionTreeClassifier data-toc-label='[class] DecisionTreeClassifier'}
Decision tree classification.
@@ -56,25 +56,25 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.ml.classical.classification.DecisionTreeClassifier.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.classification.DecisionTreeClassifier.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` maxDepth {#safeds.ml.classical.classification.DecisionTreeClassifier.maxDepth data-toc-label='maxDepth'}
+## `maxDepth` {#safeds.ml.classical.classification.DecisionTreeClassifier.maxDepth data-toc-label='[attribute] maxDepth'}
The maximum depth of the tree.
**Type:** [`Int?`][safeds.lang.Int]
-## `#!sds attr` minSampleCountInLeaves {#safeds.ml.classical.classification.DecisionTreeClassifier.minSampleCountInLeaves data-toc-label='minSampleCountInLeaves'}
+## `minSampleCountInLeaves` {#safeds.ml.classical.classification.DecisionTreeClassifier.minSampleCountInLeaves data-toc-label='[attribute] minSampleCountInLeaves'}
The minimum number of samples that must remain in the leaves of the tree.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds fun` accuracy {#safeds.ml.classical.classification.DecisionTreeClassifier.accuracy data-toc-label='accuracy'}
+## `accuracy` {#safeds.ml.classical.classification.DecisionTreeClassifier.accuracy data-toc-label='[function] accuracy'}
Compute the accuracy of the classifier on the given data.
@@ -104,7 +104,7 @@ better. Results range from 0.0 to 1.0.
) -> accuracy: Float
```
-## `#!sds fun` f1Score {#safeds.ml.classical.classification.DecisionTreeClassifier.f1Score data-toc-label='f1Score'}
+## `f1Score` {#safeds.ml.classical.classification.DecisionTreeClassifier.f1Score data-toc-label='[function] f1Score'}
Compute the classifier's F₁ score on the given data.
@@ -137,7 +137,7 @@ classifier. Results range from 0.0 to 1.0.
) -> f1Score: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.classification.DecisionTreeClassifier.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.classification.DecisionTreeClassifier.fit data-toc-label='[function] fit'}
Create a copy of this classifier and fit it with the given training data.
@@ -164,7 +164,7 @@ This classifier is not modified.
) -> fittedClassifier: DecisionTreeClassifier
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.classification.DecisionTreeClassifier.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.classification.DecisionTreeClassifier.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -184,7 +184,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.classification.DecisionTreeClassifier.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.classification.DecisionTreeClassifier.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -204,7 +204,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.classification.DecisionTreeClassifier.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.classification.DecisionTreeClassifier.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -224,7 +224,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.classification.DecisionTreeClassifier.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.classification.DecisionTreeClassifier.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -244,7 +244,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` precision {#safeds.ml.classical.classification.DecisionTreeClassifier.precision data-toc-label='precision'}
+## `precision` {#safeds.ml.classical.classification.DecisionTreeClassifier.precision data-toc-label='[function] precision'}
Compute the classifier's precision on the given data.
@@ -276,7 +276,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> precision: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.classification.DecisionTreeClassifier.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.classification.DecisionTreeClassifier.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -303,7 +303,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` recall {#safeds.ml.classical.classification.DecisionTreeClassifier.recall data-toc-label='recall'}
+## `recall` {#safeds.ml.classical.classification.DecisionTreeClassifier.recall data-toc-label='[function] recall'}
Compute the classifier's recall on the given data.
@@ -335,7 +335,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> recall: Float
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.classification.DecisionTreeClassifier.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.classification.DecisionTreeClassifier.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the classifier's metrics on the given data.
diff --git a/docs/api/safeds/ml/classical/classification/GradientBoostingClassifier.md b/docs/api/safeds/ml/classical/classification/GradientBoostingClassifier.md
index 9261839f3..0b0c0a05d 100644
--- a/docs/api/safeds/ml/classical/classification/GradientBoostingClassifier.md
+++ b/docs/api/safeds/ml/classical/classification/GradientBoostingClassifier.md
@@ -1,4 +1,4 @@
-# `#!sds class` GradientBoostingClassifier {#safeds.ml.classical.classification.GradientBoostingClassifier data-toc-label='GradientBoostingClassifier'}
+# `GradientBoostingClassifier` {#safeds.ml.classical.classification.GradientBoostingClassifier data-toc-label='[class] GradientBoostingClassifier'}
Gradient boosting classification.
@@ -57,25 +57,25 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.ml.classical.classification.GradientBoostingClassifier.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.classification.GradientBoostingClassifier.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` learningRate {#safeds.ml.classical.classification.GradientBoostingClassifier.learningRate data-toc-label='learningRate'}
+## `learningRate` {#safeds.ml.classical.classification.GradientBoostingClassifier.learningRate data-toc-label='[attribute] learningRate'}
Get the learning rate.
**Type:** [`Float`][safeds.lang.Float]
-## `#!sds attr` treeCount {#safeds.ml.classical.classification.GradientBoostingClassifier.treeCount data-toc-label='treeCount'}
+## `treeCount` {#safeds.ml.classical.classification.GradientBoostingClassifier.treeCount data-toc-label='[attribute] treeCount'}
Get the number of trees (estimators) in the ensemble.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds fun` accuracy {#safeds.ml.classical.classification.GradientBoostingClassifier.accuracy data-toc-label='accuracy'}
+## `accuracy` {#safeds.ml.classical.classification.GradientBoostingClassifier.accuracy data-toc-label='[function] accuracy'}
Compute the accuracy of the classifier on the given data.
@@ -105,7 +105,7 @@ better. Results range from 0.0 to 1.0.
) -> accuracy: Float
```
-## `#!sds fun` f1Score {#safeds.ml.classical.classification.GradientBoostingClassifier.f1Score data-toc-label='f1Score'}
+## `f1Score` {#safeds.ml.classical.classification.GradientBoostingClassifier.f1Score data-toc-label='[function] f1Score'}
Compute the classifier's F₁ score on the given data.
@@ -138,7 +138,7 @@ classifier. Results range from 0.0 to 1.0.
) -> f1Score: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.classification.GradientBoostingClassifier.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.classification.GradientBoostingClassifier.fit data-toc-label='[function] fit'}
Create a copy of this classifier and fit it with the given training data.
@@ -165,7 +165,7 @@ This classifier is not modified.
) -> fittedClassifier: GradientBoostingClassifier
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.classification.GradientBoostingClassifier.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.classification.GradientBoostingClassifier.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -185,7 +185,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.classification.GradientBoostingClassifier.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.classification.GradientBoostingClassifier.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -205,7 +205,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.classification.GradientBoostingClassifier.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.classification.GradientBoostingClassifier.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -225,7 +225,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.classification.GradientBoostingClassifier.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.classification.GradientBoostingClassifier.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -245,7 +245,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` precision {#safeds.ml.classical.classification.GradientBoostingClassifier.precision data-toc-label='precision'}
+## `precision` {#safeds.ml.classical.classification.GradientBoostingClassifier.precision data-toc-label='[function] precision'}
Compute the classifier's precision on the given data.
@@ -277,7 +277,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> precision: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.classification.GradientBoostingClassifier.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.classification.GradientBoostingClassifier.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -304,7 +304,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` recall {#safeds.ml.classical.classification.GradientBoostingClassifier.recall data-toc-label='recall'}
+## `recall` {#safeds.ml.classical.classification.GradientBoostingClassifier.recall data-toc-label='[function] recall'}
Compute the classifier's recall on the given data.
@@ -336,7 +336,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> recall: Float
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.classification.GradientBoostingClassifier.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.classification.GradientBoostingClassifier.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the classifier's metrics on the given data.
diff --git a/docs/api/safeds/ml/classical/classification/KNearestNeighborsClassifier.md b/docs/api/safeds/ml/classical/classification/KNearestNeighborsClassifier.md
index ca76aad8f..7c7c106fa 100644
--- a/docs/api/safeds/ml/classical/classification/KNearestNeighborsClassifier.md
+++ b/docs/api/safeds/ml/classical/classification/KNearestNeighborsClassifier.md
@@ -1,4 +1,4 @@
-# `#!sds class` KNearestNeighborsClassifier {#safeds.ml.classical.classification.KNearestNeighborsClassifier data-toc-label='KNearestNeighborsClassifier'}
+# `KNearestNeighborsClassifier` {#safeds.ml.classical.classification.KNearestNeighborsClassifier data-toc-label='[class] KNearestNeighborsClassifier'}
K-nearest-neighbors classification.
@@ -50,19 +50,19 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.ml.classical.classification.KNearestNeighborsClassifier.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` neighborCount {#safeds.ml.classical.classification.KNearestNeighborsClassifier.neighborCount data-toc-label='neighborCount'}
+## `neighborCount` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.neighborCount data-toc-label='[attribute] neighborCount'}
Get the number of neighbors used for interpolation.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds fun` accuracy {#safeds.ml.classical.classification.KNearestNeighborsClassifier.accuracy data-toc-label='accuracy'}
+## `accuracy` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.accuracy data-toc-label='[function] accuracy'}
Compute the accuracy of the classifier on the given data.
@@ -92,7 +92,7 @@ better. Results range from 0.0 to 1.0.
) -> accuracy: Float
```
-## `#!sds fun` f1Score {#safeds.ml.classical.classification.KNearestNeighborsClassifier.f1Score data-toc-label='f1Score'}
+## `f1Score` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.f1Score data-toc-label='[function] f1Score'}
Compute the classifier's F₁ score on the given data.
@@ -125,7 +125,7 @@ classifier. Results range from 0.0 to 1.0.
) -> f1Score: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.classification.KNearestNeighborsClassifier.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.fit data-toc-label='[function] fit'}
Create a copy of this classifier and fit it with the given training data.
@@ -152,7 +152,7 @@ This classifier is not modified.
) -> fittedClassifier: KNearestNeighborsClassifier
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.classification.KNearestNeighborsClassifier.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -172,7 +172,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.classification.KNearestNeighborsClassifier.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -192,7 +192,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.classification.KNearestNeighborsClassifier.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -212,7 +212,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.classification.KNearestNeighborsClassifier.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -232,7 +232,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` precision {#safeds.ml.classical.classification.KNearestNeighborsClassifier.precision data-toc-label='precision'}
+## `precision` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.precision data-toc-label='[function] precision'}
Compute the classifier's precision on the given data.
@@ -264,7 +264,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> precision: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.classification.KNearestNeighborsClassifier.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -291,7 +291,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` recall {#safeds.ml.classical.classification.KNearestNeighborsClassifier.recall data-toc-label='recall'}
+## `recall` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.recall data-toc-label='[function] recall'}
Compute the classifier's recall on the given data.
@@ -323,7 +323,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> recall: Float
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.classification.KNearestNeighborsClassifier.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.classification.KNearestNeighborsClassifier.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the classifier's metrics on the given data.
diff --git a/docs/api/safeds/ml/classical/classification/LogisticClassifier.md b/docs/api/safeds/ml/classical/classification/LogisticClassifier.md
index 1199ed098..af43a1164 100644
--- a/docs/api/safeds/ml/classical/classification/LogisticClassifier.md
+++ b/docs/api/safeds/ml/classical/classification/LogisticClassifier.md
@@ -1,4 +1,4 @@
-# `#!sds class` LogisticClassifier {#safeds.ml.classical.classification.LogisticClassifier data-toc-label='LogisticClassifier'}
+# `LogisticClassifier` {#safeds.ml.classical.classification.LogisticClassifier data-toc-label='[class] LogisticClassifier'}
Regularized logistic regression.
@@ -35,13 +35,13 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.ml.classical.classification.LogisticClassifier.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.classification.LogisticClassifier.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds fun` accuracy {#safeds.ml.classical.classification.LogisticClassifier.accuracy data-toc-label='accuracy'}
+## `accuracy` {#safeds.ml.classical.classification.LogisticClassifier.accuracy data-toc-label='[function] accuracy'}
Compute the accuracy of the classifier on the given data.
@@ -71,7 +71,7 @@ better. Results range from 0.0 to 1.0.
) -> accuracy: Float
```
-## `#!sds fun` f1Score {#safeds.ml.classical.classification.LogisticClassifier.f1Score data-toc-label='f1Score'}
+## `f1Score` {#safeds.ml.classical.classification.LogisticClassifier.f1Score data-toc-label='[function] f1Score'}
Compute the classifier's F₁ score on the given data.
@@ -104,7 +104,7 @@ classifier. Results range from 0.0 to 1.0.
) -> f1Score: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.classification.LogisticClassifier.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.classification.LogisticClassifier.fit data-toc-label='[function] fit'}
Create a copy of this classifier and fit it with the given training data.
@@ -131,7 +131,7 @@ This classifier is not modified.
) -> fittedClassifier: LogisticClassifier
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.classification.LogisticClassifier.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.classification.LogisticClassifier.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -151,7 +151,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.classification.LogisticClassifier.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.classification.LogisticClassifier.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -171,7 +171,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.classification.LogisticClassifier.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.classification.LogisticClassifier.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -191,7 +191,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.classification.LogisticClassifier.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.classification.LogisticClassifier.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -211,7 +211,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` precision {#safeds.ml.classical.classification.LogisticClassifier.precision data-toc-label='precision'}
+## `precision` {#safeds.ml.classical.classification.LogisticClassifier.precision data-toc-label='[function] precision'}
Compute the classifier's precision on the given data.
@@ -243,7 +243,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> precision: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.classification.LogisticClassifier.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.classification.LogisticClassifier.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -270,7 +270,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` recall {#safeds.ml.classical.classification.LogisticClassifier.recall data-toc-label='recall'}
+## `recall` {#safeds.ml.classical.classification.LogisticClassifier.recall data-toc-label='[function] recall'}
Compute the classifier's recall on the given data.
@@ -302,7 +302,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> recall: Float
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.classification.LogisticClassifier.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.classification.LogisticClassifier.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the classifier's metrics on the given data.
diff --git a/docs/api/safeds/ml/classical/classification/RandomForestClassifier.md b/docs/api/safeds/ml/classical/classification/RandomForestClassifier.md
index 7d54b1cf7..09ee8c075 100644
--- a/docs/api/safeds/ml/classical/classification/RandomForestClassifier.md
+++ b/docs/api/safeds/ml/classical/classification/RandomForestClassifier.md
@@ -1,4 +1,4 @@
-# `#!sds class` RandomForestClassifier {#safeds.ml.classical.classification.RandomForestClassifier data-toc-label='RandomForestClassifier'}
+# `RandomForestClassifier` {#safeds.ml.classical.classification.RandomForestClassifier data-toc-label='[class] RandomForestClassifier'}
Random forest classification.
@@ -63,31 +63,31 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.ml.classical.classification.RandomForestClassifier.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.classification.RandomForestClassifier.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` maxDepth {#safeds.ml.classical.classification.RandomForestClassifier.maxDepth data-toc-label='maxDepth'}
+## `maxDepth` {#safeds.ml.classical.classification.RandomForestClassifier.maxDepth data-toc-label='[attribute] maxDepth'}
The maximum depth of each tree.
**Type:** [`Int?`][safeds.lang.Int]
-## `#!sds attr` minSampleCountInLeaves {#safeds.ml.classical.classification.RandomForestClassifier.minSampleCountInLeaves data-toc-label='minSampleCountInLeaves'}
+## `minSampleCountInLeaves` {#safeds.ml.classical.classification.RandomForestClassifier.minSampleCountInLeaves data-toc-label='[attribute] minSampleCountInLeaves'}
The minimum number of samples that must remain in the leaves of each tree.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds attr` treeCount {#safeds.ml.classical.classification.RandomForestClassifier.treeCount data-toc-label='treeCount'}
+## `treeCount` {#safeds.ml.classical.classification.RandomForestClassifier.treeCount data-toc-label='[attribute] treeCount'}
Get the number of trees used in the random forest.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds fun` accuracy {#safeds.ml.classical.classification.RandomForestClassifier.accuracy data-toc-label='accuracy'}
+## `accuracy` {#safeds.ml.classical.classification.RandomForestClassifier.accuracy data-toc-label='[function] accuracy'}
Compute the accuracy of the classifier on the given data.
@@ -117,7 +117,7 @@ better. Results range from 0.0 to 1.0.
) -> accuracy: Float
```
-## `#!sds fun` f1Score {#safeds.ml.classical.classification.RandomForestClassifier.f1Score data-toc-label='f1Score'}
+## `f1Score` {#safeds.ml.classical.classification.RandomForestClassifier.f1Score data-toc-label='[function] f1Score'}
Compute the classifier's F₁ score on the given data.
@@ -150,7 +150,7 @@ classifier. Results range from 0.0 to 1.0.
) -> f1Score: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.classification.RandomForestClassifier.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.classification.RandomForestClassifier.fit data-toc-label='[function] fit'}
Create a copy of this classifier and fit it with the given training data.
@@ -177,7 +177,7 @@ This classifier is not modified.
) -> fittedClassifier: RandomForestClassifier
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.classification.RandomForestClassifier.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.classification.RandomForestClassifier.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -197,7 +197,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.classification.RandomForestClassifier.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.classification.RandomForestClassifier.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -217,7 +217,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.classification.RandomForestClassifier.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.classification.RandomForestClassifier.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -237,7 +237,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.classification.RandomForestClassifier.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.classification.RandomForestClassifier.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -257,7 +257,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` precision {#safeds.ml.classical.classification.RandomForestClassifier.precision data-toc-label='precision'}
+## `precision` {#safeds.ml.classical.classification.RandomForestClassifier.precision data-toc-label='[function] precision'}
Compute the classifier's precision on the given data.
@@ -289,7 +289,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> precision: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.classification.RandomForestClassifier.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.classification.RandomForestClassifier.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -316,7 +316,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` recall {#safeds.ml.classical.classification.RandomForestClassifier.recall data-toc-label='recall'}
+## `recall` {#safeds.ml.classical.classification.RandomForestClassifier.recall data-toc-label='[function] recall'}
Compute the classifier's recall on the given data.
@@ -348,7 +348,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> recall: Float
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.classification.RandomForestClassifier.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.classification.RandomForestClassifier.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the classifier's metrics on the given data.
diff --git a/docs/api/safeds/ml/classical/classification/SupportVectorClassifier.md b/docs/api/safeds/ml/classical/classification/SupportVectorClassifier.md
index c2bcb0932..d714af697 100644
--- a/docs/api/safeds/ml/classical/classification/SupportVectorClassifier.md
+++ b/docs/api/safeds/ml/classical/classification/SupportVectorClassifier.md
@@ -1,4 +1,4 @@
-# `#!sds class` SupportVectorClassifier {#safeds.ml.classical.classification.SupportVectorClassifier data-toc-label='SupportVectorClassifier'}
+# `SupportVectorClassifier` {#safeds.ml.classical.classification.SupportVectorClassifier data-toc-label='[class] SupportVectorClassifier'}
Support vector machine for classification.
@@ -91,25 +91,25 @@ pipeline example {
}
```
-## `#!sds attr` c {#safeds.ml.classical.classification.SupportVectorClassifier.c data-toc-label='c'}
+## `c` {#safeds.ml.classical.classification.SupportVectorClassifier.c data-toc-label='[attribute] c'}
Get the regularization strength.
**Type:** [`Float`][safeds.lang.Float]
-## `#!sds attr` isFitted {#safeds.ml.classical.classification.SupportVectorClassifier.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.classification.SupportVectorClassifier.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` kernel {#safeds.ml.classical.classification.SupportVectorClassifier.kernel data-toc-label='kernel'}
+## `kernel` {#safeds.ml.classical.classification.SupportVectorClassifier.kernel data-toc-label='[attribute] kernel'}
Get the type of kernel used.
**Type:** [`Kernel`][safeds.ml.classical.classification.SupportVectorClassifier.Kernel]
-## `#!sds fun` accuracy {#safeds.ml.classical.classification.SupportVectorClassifier.accuracy data-toc-label='accuracy'}
+## `accuracy` {#safeds.ml.classical.classification.SupportVectorClassifier.accuracy data-toc-label='[function] accuracy'}
Compute the accuracy of the classifier on the given data.
@@ -139,7 +139,7 @@ better. Results range from 0.0 to 1.0.
) -> accuracy: Float
```
-## `#!sds fun` f1Score {#safeds.ml.classical.classification.SupportVectorClassifier.f1Score data-toc-label='f1Score'}
+## `f1Score` {#safeds.ml.classical.classification.SupportVectorClassifier.f1Score data-toc-label='[function] f1Score'}
Compute the classifier's F₁ score on the given data.
@@ -172,7 +172,7 @@ classifier. Results range from 0.0 to 1.0.
) -> f1Score: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.classification.SupportVectorClassifier.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.classification.SupportVectorClassifier.fit data-toc-label='[function] fit'}
Create a copy of this classifier and fit it with the given training data.
@@ -199,7 +199,7 @@ This classifier is not modified.
) -> fittedClassifier: SupportVectorClassifier
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.classification.SupportVectorClassifier.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.classification.SupportVectorClassifier.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -219,7 +219,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.classification.SupportVectorClassifier.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.classification.SupportVectorClassifier.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -239,7 +239,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.classification.SupportVectorClassifier.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.classification.SupportVectorClassifier.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -259,7 +259,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.classification.SupportVectorClassifier.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.classification.SupportVectorClassifier.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -279,7 +279,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` precision {#safeds.ml.classical.classification.SupportVectorClassifier.precision data-toc-label='precision'}
+## `precision` {#safeds.ml.classical.classification.SupportVectorClassifier.precision data-toc-label='[function] precision'}
Compute the classifier's precision on the given data.
@@ -311,7 +311,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> precision: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.classification.SupportVectorClassifier.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.classification.SupportVectorClassifier.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -338,7 +338,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` recall {#safeds.ml.classical.classification.SupportVectorClassifier.recall data-toc-label='recall'}
+## `recall` {#safeds.ml.classical.classification.SupportVectorClassifier.recall data-toc-label='[function] recall'}
Compute the classifier's recall on the given data.
@@ -370,7 +370,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> recall: Float
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.classification.SupportVectorClassifier.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.classification.SupportVectorClassifier.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the classifier's metrics on the given data.
@@ -400,7 +400,7 @@ Summarize the classifier's metrics on the given data.
) -> metrics: Table
```
-## `#!sds enum` Kernel {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel data-toc-label='Kernel'}
+## `Kernel` {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel data-toc-label='[enum] Kernel'}
The kernel functions that can be used in the support vector machine.
@@ -438,11 +438,11 @@ The kernel functions that can be used in the support vector machine.
}
```
-### Linear {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel.Linear data-toc-label='Linear'}
+### `Linear` {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel.Linear data-toc-label='[variant] Linear'}
A linear kernel.
-### Polynomial {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel.Polynomial data-toc-label='Polynomial'}
+### `Polynomial` {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel.Polynomial data-toc-label='[variant] Polynomial'}
A polynomial kernel.
@@ -452,10 +452,10 @@ A polynomial kernel.
|------|------|-------------|---------|
| `degree` | [`Int`][safeds.lang.Int] | The degree of the polynomial. | - |
-### RadialBasisFunction {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel.RadialBasisFunction data-toc-label='RadialBasisFunction'}
+### `RadialBasisFunction` {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel.RadialBasisFunction data-toc-label='[variant] RadialBasisFunction'}
A radial basis function kernel.
-### Sigmoid {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel.Sigmoid data-toc-label='Sigmoid'}
+### `Sigmoid` {#safeds.ml.classical.classification.SupportVectorClassifier.Kernel.Sigmoid data-toc-label='[variant] Sigmoid'}
A sigmoid kernel.
diff --git a/docs/api/safeds/ml/classical/regression/AdaBoostRegressor.md b/docs/api/safeds/ml/classical/regression/AdaBoostRegressor.md
index 20bf79bfc..219de9860 100644
--- a/docs/api/safeds/ml/classical/regression/AdaBoostRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/AdaBoostRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` AdaBoostRegressor {#safeds.ml.classical.regression.AdaBoostRegressor data-toc-label='AdaBoostRegressor'}
+# `AdaBoostRegressor` {#safeds.ml.classical.regression.AdaBoostRegressor data-toc-label='[class] AdaBoostRegressor'}
Ada Boost regression.
@@ -63,31 +63,31 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.ml.classical.regression.AdaBoostRegressor.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.regression.AdaBoostRegressor.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` learner {#safeds.ml.classical.regression.AdaBoostRegressor.learner data-toc-label='learner'}
+## `learner` {#safeds.ml.classical.regression.AdaBoostRegressor.learner data-toc-label='[attribute] learner'}
Get the base learner used for training the ensemble.
**Type:** [`Regressor`][safeds.ml.classical.regression.Regressor]
-## `#!sds attr` learningRate {#safeds.ml.classical.regression.AdaBoostRegressor.learningRate data-toc-label='learningRate'}
+## `learningRate` {#safeds.ml.classical.regression.AdaBoostRegressor.learningRate data-toc-label='[attribute] learningRate'}
Get the learning rate.
**Type:** [`Float`][safeds.lang.Float]
-## `#!sds attr` maxLearnerCount {#safeds.ml.classical.regression.AdaBoostRegressor.maxLearnerCount data-toc-label='maxLearnerCount'}
+## `maxLearnerCount` {#safeds.ml.classical.regression.AdaBoostRegressor.maxLearnerCount data-toc-label='[attribute] maxLearnerCount'}
Get the maximum number of learners in the ensemble.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds fun` coefficientOfDetermination {#safeds.ml.classical.regression.AdaBoostRegressor.coefficientOfDetermination data-toc-label='coefficientOfDetermination'}
+## `coefficientOfDetermination` {#safeds.ml.classical.regression.AdaBoostRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
Compute the coefficient of determination (R²) of the regressor on the given data.
@@ -128,7 +128,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
) -> coefficientOfDetermination: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.regression.AdaBoostRegressor.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.regression.AdaBoostRegressor.fit data-toc-label='[function] fit'}
Create a copy of this regressor and fit it with the given training data.
@@ -155,7 +155,7 @@ This regressor is not modified.
) -> fittedRegressor: AdaBoostRegressor
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.regression.AdaBoostRegressor.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.regression.AdaBoostRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -175,7 +175,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.regression.AdaBoostRegressor.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.regression.AdaBoostRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -195,7 +195,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.regression.AdaBoostRegressor.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.regression.AdaBoostRegressor.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -215,7 +215,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.regression.AdaBoostRegressor.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.regression.AdaBoostRegressor.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -235,7 +235,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` meanAbsoluteError {#safeds.ml.classical.regression.AdaBoostRegressor.meanAbsoluteError data-toc-label='meanAbsoluteError'}
+## `meanAbsoluteError` {#safeds.ml.classical.regression.AdaBoostRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
Compute the mean absolute error (MAE) of the regressor on the given data.
@@ -265,7 +265,7 @@ infinity.
) -> meanAbsoluteError: Float
```
-## `#!sds fun` meanDirectionalAccuracy {#safeds.ml.classical.regression.AdaBoostRegressor.meanDirectionalAccuracy data-toc-label='meanDirectionalAccuracy'}
+## `meanDirectionalAccuracy` {#safeds.ml.classical.regression.AdaBoostRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
Compute the mean directional accuracy (MDA) of the regressor on the given data.
@@ -299,7 +299,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
) -> meanDirectionalAccuracy: Float
```
-## `#!sds fun` meanSquaredError {#safeds.ml.classical.regression.AdaBoostRegressor.meanSquaredError data-toc-label='meanSquaredError'}
+## `meanSquaredError` {#safeds.ml.classical.regression.AdaBoostRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
Compute the mean squared error (MSE) of the regressor on the given data.
@@ -331,7 +331,7 @@ infinity.
) -> meanSquaredError: Float
```
-## `#!sds fun` medianAbsoluteDeviation {#safeds.ml.classical.regression.AdaBoostRegressor.medianAbsoluteDeviation data-toc-label='medianAbsoluteDeviation'}
+## `medianAbsoluteDeviation` {#safeds.ml.classical.regression.AdaBoostRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
Compute the median absolute deviation (MAD) of the regressor on the given data.
@@ -361,7 +361,7 @@ positive infinity.
) -> medianAbsoluteDeviation: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.regression.AdaBoostRegressor.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.regression.AdaBoostRegressor.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -388,7 +388,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.regression.AdaBoostRegressor.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.regression.AdaBoostRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the regressor's metrics on the given data.
diff --git a/docs/api/safeds/ml/classical/regression/ArimaRegressor.md b/docs/api/safeds/ml/classical/regression/ArimaRegressor.md
index 08bb8afcb..70df0e492 100644
--- a/docs/api/safeds/ml/classical/regression/ArimaRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/ArimaRegressor.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` ArimaRegressor {#safeds.ml.classical.regression.ArimaRegressor data-toc-label='ArimaRegressor'}
+# :test_tube:{ title="Experimental" } `ArimaRegressor` {#safeds.ml.classical.regression.ArimaRegressor data-toc-label='[class] ArimaRegressor'}
Auto Regressive Integrated Moving Average Model.
@@ -60,13 +60,13 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.ml.classical.regression.ArimaRegressor.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.regression.ArimaRegressor.isFitted data-toc-label='[attribute] isFitted'}
Whether the regressor is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds fun` fit {#safeds.ml.classical.regression.ArimaRegressor.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.regression.ArimaRegressor.fit data-toc-label='[function] fit'}
Create a copy of this ARIMA Model and fit it with the given training data.
@@ -93,7 +93,7 @@ This ARIMA Model is not modified.
) -> fittedArima: ArimaRegressor
```
-## `#!sds fun` plotPredictions {#safeds.ml.classical.regression.ArimaRegressor.plotPredictions data-toc-label='plotPredictions'}
+## `plotPredictions` {#safeds.ml.classical.regression.ArimaRegressor.plotPredictions data-toc-label='[function] plotPredictions'}
Plot the predictions of the trained model to the given target of the time series. So you can see the predictions and the actual values in one plot.
@@ -119,7 +119,7 @@ Plot the predictions of the trained model to the given target of the time series
) -> image: Image
```
-## `#!sds fun` predict {#safeds.ml.classical.regression.ArimaRegressor.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.regression.ArimaRegressor.predict data-toc-label='[function] predict'}
Predict a target vector using a time series target column. The model has to be trained first.
diff --git a/docs/api/safeds/ml/classical/regression/DecisionTreeRegressor.md b/docs/api/safeds/ml/classical/regression/DecisionTreeRegressor.md
index d6212a8ad..308dc050a 100644
--- a/docs/api/safeds/ml/classical/regression/DecisionTreeRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/DecisionTreeRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` DecisionTreeRegressor {#safeds.ml.classical.regression.DecisionTreeRegressor data-toc-label='DecisionTreeRegressor'}
+# `DecisionTreeRegressor` {#safeds.ml.classical.regression.DecisionTreeRegressor data-toc-label='[class] DecisionTreeRegressor'}
Decision tree regression.
@@ -56,25 +56,25 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.ml.classical.regression.DecisionTreeRegressor.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.regression.DecisionTreeRegressor.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` maxDepth {#safeds.ml.classical.regression.DecisionTreeRegressor.maxDepth data-toc-label='maxDepth'}
+## `maxDepth` {#safeds.ml.classical.regression.DecisionTreeRegressor.maxDepth data-toc-label='[attribute] maxDepth'}
The maximum depth of the tree.
**Type:** [`Int?`][safeds.lang.Int]
-## `#!sds attr` minSampleCountInLeaves {#safeds.ml.classical.regression.DecisionTreeRegressor.minSampleCountInLeaves data-toc-label='minSampleCountInLeaves'}
+## `minSampleCountInLeaves` {#safeds.ml.classical.regression.DecisionTreeRegressor.minSampleCountInLeaves data-toc-label='[attribute] minSampleCountInLeaves'}
The minimum number of samples that must remain in the leaves of the tree.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds fun` coefficientOfDetermination {#safeds.ml.classical.regression.DecisionTreeRegressor.coefficientOfDetermination data-toc-label='coefficientOfDetermination'}
+## `coefficientOfDetermination` {#safeds.ml.classical.regression.DecisionTreeRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
Compute the coefficient of determination (R²) of the regressor on the given data.
@@ -115,7 +115,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
) -> coefficientOfDetermination: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.regression.DecisionTreeRegressor.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.regression.DecisionTreeRegressor.fit data-toc-label='[function] fit'}
Create a copy of this regressor and fit it with the given training data.
@@ -142,7 +142,7 @@ This regressor is not modified.
) -> fittedRegressor: DecisionTreeRegressor
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.regression.DecisionTreeRegressor.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.regression.DecisionTreeRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -162,7 +162,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.regression.DecisionTreeRegressor.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.regression.DecisionTreeRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -182,7 +182,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.regression.DecisionTreeRegressor.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.regression.DecisionTreeRegressor.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -202,7 +202,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.regression.DecisionTreeRegressor.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.regression.DecisionTreeRegressor.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -222,7 +222,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` meanAbsoluteError {#safeds.ml.classical.regression.DecisionTreeRegressor.meanAbsoluteError data-toc-label='meanAbsoluteError'}
+## `meanAbsoluteError` {#safeds.ml.classical.regression.DecisionTreeRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
Compute the mean absolute error (MAE) of the regressor on the given data.
@@ -252,7 +252,7 @@ infinity.
) -> meanAbsoluteError: Float
```
-## `#!sds fun` meanDirectionalAccuracy {#safeds.ml.classical.regression.DecisionTreeRegressor.meanDirectionalAccuracy data-toc-label='meanDirectionalAccuracy'}
+## `meanDirectionalAccuracy` {#safeds.ml.classical.regression.DecisionTreeRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
Compute the mean directional accuracy (MDA) of the regressor on the given data.
@@ -286,7 +286,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
) -> meanDirectionalAccuracy: Float
```
-## `#!sds fun` meanSquaredError {#safeds.ml.classical.regression.DecisionTreeRegressor.meanSquaredError data-toc-label='meanSquaredError'}
+## `meanSquaredError` {#safeds.ml.classical.regression.DecisionTreeRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
Compute the mean squared error (MSE) of the regressor on the given data.
@@ -318,7 +318,7 @@ infinity.
) -> meanSquaredError: Float
```
-## `#!sds fun` medianAbsoluteDeviation {#safeds.ml.classical.regression.DecisionTreeRegressor.medianAbsoluteDeviation data-toc-label='medianAbsoluteDeviation'}
+## `medianAbsoluteDeviation` {#safeds.ml.classical.regression.DecisionTreeRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
Compute the median absolute deviation (MAD) of the regressor on the given data.
@@ -348,7 +348,7 @@ positive infinity.
) -> medianAbsoluteDeviation: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.regression.DecisionTreeRegressor.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.regression.DecisionTreeRegressor.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -375,7 +375,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.regression.DecisionTreeRegressor.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.regression.DecisionTreeRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the regressor's metrics on the given data.
diff --git a/docs/api/safeds/ml/classical/regression/ElasticNetRegressor.md b/docs/api/safeds/ml/classical/regression/ElasticNetRegressor.md
index b002b8dcd..5bc715b2b 100644
--- a/docs/api/safeds/ml/classical/regression/ElasticNetRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/ElasticNetRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` ElasticNetRegressor {#safeds.ml.classical.regression.ElasticNetRegressor data-toc-label='ElasticNetRegressor'}
+# `ElasticNetRegressor` {#safeds.ml.classical.regression.ElasticNetRegressor data-toc-label='[class] ElasticNetRegressor'}
Elastic net regression.
@@ -58,25 +58,25 @@ pipeline example {
}
```
-## `#!sds attr` alpha {#safeds.ml.classical.regression.ElasticNetRegressor.alpha data-toc-label='alpha'}
+## `alpha` {#safeds.ml.classical.regression.ElasticNetRegressor.alpha data-toc-label='[attribute] alpha'}
Get the regularization of the model.
**Type:** [`Float`][safeds.lang.Float]
-## `#!sds attr` isFitted {#safeds.ml.classical.regression.ElasticNetRegressor.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.regression.ElasticNetRegressor.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` lassoRatio {#safeds.ml.classical.regression.ElasticNetRegressor.lassoRatio data-toc-label='lassoRatio'}
+## `lassoRatio` {#safeds.ml.classical.regression.ElasticNetRegressor.lassoRatio data-toc-label='[attribute] lassoRatio'}
Get the ratio between Lasso and Ridge regularization.
**Type:** [`Float`][safeds.lang.Float]
-## `#!sds fun` coefficientOfDetermination {#safeds.ml.classical.regression.ElasticNetRegressor.coefficientOfDetermination data-toc-label='coefficientOfDetermination'}
+## `coefficientOfDetermination` {#safeds.ml.classical.regression.ElasticNetRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
Compute the coefficient of determination (R²) of the regressor on the given data.
@@ -117,7 +117,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
) -> coefficientOfDetermination: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.regression.ElasticNetRegressor.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.regression.ElasticNetRegressor.fit data-toc-label='[function] fit'}
Create a copy of this regressor and fit it with the given training data.
@@ -144,7 +144,7 @@ This regressor is not modified.
) -> fittedRegressor: ElasticNetRegressor
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.regression.ElasticNetRegressor.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.regression.ElasticNetRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -164,7 +164,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.regression.ElasticNetRegressor.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.regression.ElasticNetRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -184,7 +184,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.regression.ElasticNetRegressor.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.regression.ElasticNetRegressor.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -204,7 +204,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.regression.ElasticNetRegressor.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.regression.ElasticNetRegressor.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -224,7 +224,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` meanAbsoluteError {#safeds.ml.classical.regression.ElasticNetRegressor.meanAbsoluteError data-toc-label='meanAbsoluteError'}
+## `meanAbsoluteError` {#safeds.ml.classical.regression.ElasticNetRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
Compute the mean absolute error (MAE) of the regressor on the given data.
@@ -254,7 +254,7 @@ infinity.
) -> meanAbsoluteError: Float
```
-## `#!sds fun` meanDirectionalAccuracy {#safeds.ml.classical.regression.ElasticNetRegressor.meanDirectionalAccuracy data-toc-label='meanDirectionalAccuracy'}
+## `meanDirectionalAccuracy` {#safeds.ml.classical.regression.ElasticNetRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
Compute the mean directional accuracy (MDA) of the regressor on the given data.
@@ -288,7 +288,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
) -> meanDirectionalAccuracy: Float
```
-## `#!sds fun` meanSquaredError {#safeds.ml.classical.regression.ElasticNetRegressor.meanSquaredError data-toc-label='meanSquaredError'}
+## `meanSquaredError` {#safeds.ml.classical.regression.ElasticNetRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
Compute the mean squared error (MSE) of the regressor on the given data.
@@ -320,7 +320,7 @@ infinity.
) -> meanSquaredError: Float
```
-## `#!sds fun` medianAbsoluteDeviation {#safeds.ml.classical.regression.ElasticNetRegressor.medianAbsoluteDeviation data-toc-label='medianAbsoluteDeviation'}
+## `medianAbsoluteDeviation` {#safeds.ml.classical.regression.ElasticNetRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
Compute the median absolute deviation (MAD) of the regressor on the given data.
@@ -350,7 +350,7 @@ positive infinity.
) -> medianAbsoluteDeviation: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.regression.ElasticNetRegressor.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.regression.ElasticNetRegressor.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -377,7 +377,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.regression.ElasticNetRegressor.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.regression.ElasticNetRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the regressor's metrics on the given data.
diff --git a/docs/api/safeds/ml/classical/regression/GradientBoostingRegressor.md b/docs/api/safeds/ml/classical/regression/GradientBoostingRegressor.md
index 06a619c05..cc69bd2f2 100644
--- a/docs/api/safeds/ml/classical/regression/GradientBoostingRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/GradientBoostingRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` GradientBoostingRegressor {#safeds.ml.classical.regression.GradientBoostingRegressor data-toc-label='GradientBoostingRegressor'}
+# `GradientBoostingRegressor` {#safeds.ml.classical.regression.GradientBoostingRegressor data-toc-label='[class] GradientBoostingRegressor'}
Gradient boosting regression.
@@ -57,25 +57,25 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.ml.classical.regression.GradientBoostingRegressor.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.regression.GradientBoostingRegressor.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` learningRate {#safeds.ml.classical.regression.GradientBoostingRegressor.learningRate data-toc-label='learningRate'}
+## `learningRate` {#safeds.ml.classical.regression.GradientBoostingRegressor.learningRate data-toc-label='[attribute] learningRate'}
Get the learning rate.
**Type:** [`Float`][safeds.lang.Float]
-## `#!sds attr` treeCount {#safeds.ml.classical.regression.GradientBoostingRegressor.treeCount data-toc-label='treeCount'}
+## `treeCount` {#safeds.ml.classical.regression.GradientBoostingRegressor.treeCount data-toc-label='[attribute] treeCount'}
Get the number of trees (estimators) in the ensemble.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds fun` coefficientOfDetermination {#safeds.ml.classical.regression.GradientBoostingRegressor.coefficientOfDetermination data-toc-label='coefficientOfDetermination'}
+## `coefficientOfDetermination` {#safeds.ml.classical.regression.GradientBoostingRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
Compute the coefficient of determination (R²) of the regressor on the given data.
@@ -116,7 +116,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
) -> coefficientOfDetermination: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.regression.GradientBoostingRegressor.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.regression.GradientBoostingRegressor.fit data-toc-label='[function] fit'}
Create a copy of this regressor and fit it with the given training data.
@@ -143,7 +143,7 @@ This regressor is not modified.
) -> fittedRegressor: GradientBoostingRegressor
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.regression.GradientBoostingRegressor.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.regression.GradientBoostingRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -163,7 +163,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.regression.GradientBoostingRegressor.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.regression.GradientBoostingRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -183,7 +183,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.regression.GradientBoostingRegressor.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.regression.GradientBoostingRegressor.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -203,7 +203,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.regression.GradientBoostingRegressor.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.regression.GradientBoostingRegressor.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -223,7 +223,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` meanAbsoluteError {#safeds.ml.classical.regression.GradientBoostingRegressor.meanAbsoluteError data-toc-label='meanAbsoluteError'}
+## `meanAbsoluteError` {#safeds.ml.classical.regression.GradientBoostingRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
Compute the mean absolute error (MAE) of the regressor on the given data.
@@ -253,7 +253,7 @@ infinity.
) -> meanAbsoluteError: Float
```
-## `#!sds fun` meanDirectionalAccuracy {#safeds.ml.classical.regression.GradientBoostingRegressor.meanDirectionalAccuracy data-toc-label='meanDirectionalAccuracy'}
+## `meanDirectionalAccuracy` {#safeds.ml.classical.regression.GradientBoostingRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
Compute the mean directional accuracy (MDA) of the regressor on the given data.
@@ -287,7 +287,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
) -> meanDirectionalAccuracy: Float
```
-## `#!sds fun` meanSquaredError {#safeds.ml.classical.regression.GradientBoostingRegressor.meanSquaredError data-toc-label='meanSquaredError'}
+## `meanSquaredError` {#safeds.ml.classical.regression.GradientBoostingRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
Compute the mean squared error (MSE) of the regressor on the given data.
@@ -319,7 +319,7 @@ infinity.
) -> meanSquaredError: Float
```
-## `#!sds fun` medianAbsoluteDeviation {#safeds.ml.classical.regression.GradientBoostingRegressor.medianAbsoluteDeviation data-toc-label='medianAbsoluteDeviation'}
+## `medianAbsoluteDeviation` {#safeds.ml.classical.regression.GradientBoostingRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
Compute the median absolute deviation (MAD) of the regressor on the given data.
@@ -349,7 +349,7 @@ positive infinity.
) -> medianAbsoluteDeviation: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.regression.GradientBoostingRegressor.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.regression.GradientBoostingRegressor.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -376,7 +376,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.regression.GradientBoostingRegressor.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.regression.GradientBoostingRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the regressor's metrics on the given data.
diff --git a/docs/api/safeds/ml/classical/regression/KNearestNeighborsRegressor.md b/docs/api/safeds/ml/classical/regression/KNearestNeighborsRegressor.md
index a14af6cf1..01fe4c71f 100644
--- a/docs/api/safeds/ml/classical/regression/KNearestNeighborsRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/KNearestNeighborsRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` KNearestNeighborsRegressor {#safeds.ml.classical.regression.KNearestNeighborsRegressor data-toc-label='KNearestNeighborsRegressor'}
+# `KNearestNeighborsRegressor` {#safeds.ml.classical.regression.KNearestNeighborsRegressor data-toc-label='[class] KNearestNeighborsRegressor'}
K-nearest-neighbors regression.
@@ -50,19 +50,19 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.ml.classical.regression.KNearestNeighborsRegressor.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` neighborCount {#safeds.ml.classical.regression.KNearestNeighborsRegressor.neighborCount data-toc-label='neighborCount'}
+## `neighborCount` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.neighborCount data-toc-label='[attribute] neighborCount'}
Get the number of neighbors used for interpolation.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds fun` coefficientOfDetermination {#safeds.ml.classical.regression.KNearestNeighborsRegressor.coefficientOfDetermination data-toc-label='coefficientOfDetermination'}
+## `coefficientOfDetermination` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
Compute the coefficient of determination (R²) of the regressor on the given data.
@@ -103,7 +103,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
) -> coefficientOfDetermination: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.regression.KNearestNeighborsRegressor.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.fit data-toc-label='[function] fit'}
Create a copy of this regressor and fit it with the given training data.
@@ -130,7 +130,7 @@ This regressor is not modified.
) -> fittedRegressor: KNearestNeighborsRegressor
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.regression.KNearestNeighborsRegressor.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -150,7 +150,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.regression.KNearestNeighborsRegressor.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -170,7 +170,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.regression.KNearestNeighborsRegressor.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -190,7 +190,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.regression.KNearestNeighborsRegressor.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -210,7 +210,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` meanAbsoluteError {#safeds.ml.classical.regression.KNearestNeighborsRegressor.meanAbsoluteError data-toc-label='meanAbsoluteError'}
+## `meanAbsoluteError` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
Compute the mean absolute error (MAE) of the regressor on the given data.
@@ -240,7 +240,7 @@ infinity.
) -> meanAbsoluteError: Float
```
-## `#!sds fun` meanDirectionalAccuracy {#safeds.ml.classical.regression.KNearestNeighborsRegressor.meanDirectionalAccuracy data-toc-label='meanDirectionalAccuracy'}
+## `meanDirectionalAccuracy` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
Compute the mean directional accuracy (MDA) of the regressor on the given data.
@@ -274,7 +274,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
) -> meanDirectionalAccuracy: Float
```
-## `#!sds fun` meanSquaredError {#safeds.ml.classical.regression.KNearestNeighborsRegressor.meanSquaredError data-toc-label='meanSquaredError'}
+## `meanSquaredError` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
Compute the mean squared error (MSE) of the regressor on the given data.
@@ -306,7 +306,7 @@ infinity.
) -> meanSquaredError: Float
```
-## `#!sds fun` medianAbsoluteDeviation {#safeds.ml.classical.regression.KNearestNeighborsRegressor.medianAbsoluteDeviation data-toc-label='medianAbsoluteDeviation'}
+## `medianAbsoluteDeviation` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
Compute the median absolute deviation (MAD) of the regressor on the given data.
@@ -336,7 +336,7 @@ positive infinity.
) -> medianAbsoluteDeviation: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.regression.KNearestNeighborsRegressor.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -363,7 +363,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.regression.KNearestNeighborsRegressor.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.regression.KNearestNeighborsRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the regressor's metrics on the given data.
diff --git a/docs/api/safeds/ml/classical/regression/LassoRegressor.md b/docs/api/safeds/ml/classical/regression/LassoRegressor.md
index e95e31f50..02a7a863d 100644
--- a/docs/api/safeds/ml/classical/regression/LassoRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/LassoRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` LassoRegressor {#safeds.ml.classical.regression.LassoRegressor data-toc-label='LassoRegressor'}
+# `LassoRegressor` {#safeds.ml.classical.regression.LassoRegressor data-toc-label='[class] LassoRegressor'}
Lasso regression.
@@ -50,19 +50,19 @@ pipeline example {
}
```
-## `#!sds attr` alpha {#safeds.ml.classical.regression.LassoRegressor.alpha data-toc-label='alpha'}
+## `alpha` {#safeds.ml.classical.regression.LassoRegressor.alpha data-toc-label='[attribute] alpha'}
Get the regularization of the model.
**Type:** [`Float`][safeds.lang.Float]
-## `#!sds attr` isFitted {#safeds.ml.classical.regression.LassoRegressor.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.regression.LassoRegressor.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds fun` coefficientOfDetermination {#safeds.ml.classical.regression.LassoRegressor.coefficientOfDetermination data-toc-label='coefficientOfDetermination'}
+## `coefficientOfDetermination` {#safeds.ml.classical.regression.LassoRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
Compute the coefficient of determination (R²) of the regressor on the given data.
@@ -103,7 +103,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
) -> coefficientOfDetermination: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.regression.LassoRegressor.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.regression.LassoRegressor.fit data-toc-label='[function] fit'}
Create a copy of this regressor and fit it with the given training data.
@@ -130,7 +130,7 @@ This regressor is not modified.
) -> fittedRegressor: LassoRegressor
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.regression.LassoRegressor.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.regression.LassoRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -150,7 +150,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.regression.LassoRegressor.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.regression.LassoRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -170,7 +170,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.regression.LassoRegressor.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.regression.LassoRegressor.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -190,7 +190,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.regression.LassoRegressor.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.regression.LassoRegressor.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -210,7 +210,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` meanAbsoluteError {#safeds.ml.classical.regression.LassoRegressor.meanAbsoluteError data-toc-label='meanAbsoluteError'}
+## `meanAbsoluteError` {#safeds.ml.classical.regression.LassoRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
Compute the mean absolute error (MAE) of the regressor on the given data.
@@ -240,7 +240,7 @@ infinity.
) -> meanAbsoluteError: Float
```
-## `#!sds fun` meanDirectionalAccuracy {#safeds.ml.classical.regression.LassoRegressor.meanDirectionalAccuracy data-toc-label='meanDirectionalAccuracy'}
+## `meanDirectionalAccuracy` {#safeds.ml.classical.regression.LassoRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
Compute the mean directional accuracy (MDA) of the regressor on the given data.
@@ -274,7 +274,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
) -> meanDirectionalAccuracy: Float
```
-## `#!sds fun` meanSquaredError {#safeds.ml.classical.regression.LassoRegressor.meanSquaredError data-toc-label='meanSquaredError'}
+## `meanSquaredError` {#safeds.ml.classical.regression.LassoRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
Compute the mean squared error (MSE) of the regressor on the given data.
@@ -306,7 +306,7 @@ infinity.
) -> meanSquaredError: Float
```
-## `#!sds fun` medianAbsoluteDeviation {#safeds.ml.classical.regression.LassoRegressor.medianAbsoluteDeviation data-toc-label='medianAbsoluteDeviation'}
+## `medianAbsoluteDeviation` {#safeds.ml.classical.regression.LassoRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
Compute the median absolute deviation (MAD) of the regressor on the given data.
@@ -336,7 +336,7 @@ positive infinity.
) -> medianAbsoluteDeviation: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.regression.LassoRegressor.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.regression.LassoRegressor.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -363,7 +363,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.regression.LassoRegressor.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.regression.LassoRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the regressor's metrics on the given data.
diff --git a/docs/api/safeds/ml/classical/regression/LinearRegressor.md b/docs/api/safeds/ml/classical/regression/LinearRegressor.md
index 9fb48662e..9207ac4fd 100644
--- a/docs/api/safeds/ml/classical/regression/LinearRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/LinearRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` LinearRegressor {#safeds.ml.classical.regression.LinearRegressor data-toc-label='LinearRegressor'}
+# `LinearRegressor` {#safeds.ml.classical.regression.LinearRegressor data-toc-label='[class] LinearRegressor'}
Linear regression.
@@ -35,13 +35,13 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.ml.classical.regression.LinearRegressor.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.regression.LinearRegressor.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds fun` coefficientOfDetermination {#safeds.ml.classical.regression.LinearRegressor.coefficientOfDetermination data-toc-label='coefficientOfDetermination'}
+## `coefficientOfDetermination` {#safeds.ml.classical.regression.LinearRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
Compute the coefficient of determination (R²) of the regressor on the given data.
@@ -82,7 +82,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
) -> coefficientOfDetermination: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.regression.LinearRegressor.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.regression.LinearRegressor.fit data-toc-label='[function] fit'}
Create a copy of this regressor and fit it with the given training data.
@@ -109,7 +109,7 @@ This regressor is not modified.
) -> fittedRegressor: LinearRegressor
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.regression.LinearRegressor.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.regression.LinearRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -129,7 +129,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.regression.LinearRegressor.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.regression.LinearRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -149,7 +149,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.regression.LinearRegressor.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.regression.LinearRegressor.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -169,7 +169,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.regression.LinearRegressor.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.regression.LinearRegressor.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -189,7 +189,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` meanAbsoluteError {#safeds.ml.classical.regression.LinearRegressor.meanAbsoluteError data-toc-label='meanAbsoluteError'}
+## `meanAbsoluteError` {#safeds.ml.classical.regression.LinearRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
Compute the mean absolute error (MAE) of the regressor on the given data.
@@ -219,7 +219,7 @@ infinity.
) -> meanAbsoluteError: Float
```
-## `#!sds fun` meanDirectionalAccuracy {#safeds.ml.classical.regression.LinearRegressor.meanDirectionalAccuracy data-toc-label='meanDirectionalAccuracy'}
+## `meanDirectionalAccuracy` {#safeds.ml.classical.regression.LinearRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
Compute the mean directional accuracy (MDA) of the regressor on the given data.
@@ -253,7 +253,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
) -> meanDirectionalAccuracy: Float
```
-## `#!sds fun` meanSquaredError {#safeds.ml.classical.regression.LinearRegressor.meanSquaredError data-toc-label='meanSquaredError'}
+## `meanSquaredError` {#safeds.ml.classical.regression.LinearRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
Compute the mean squared error (MSE) of the regressor on the given data.
@@ -285,7 +285,7 @@ infinity.
) -> meanSquaredError: Float
```
-## `#!sds fun` medianAbsoluteDeviation {#safeds.ml.classical.regression.LinearRegressor.medianAbsoluteDeviation data-toc-label='medianAbsoluteDeviation'}
+## `medianAbsoluteDeviation` {#safeds.ml.classical.regression.LinearRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
Compute the median absolute deviation (MAD) of the regressor on the given data.
@@ -315,7 +315,7 @@ positive infinity.
) -> medianAbsoluteDeviation: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.regression.LinearRegressor.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.regression.LinearRegressor.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -342,7 +342,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.regression.LinearRegressor.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.regression.LinearRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the regressor's metrics on the given data.
diff --git a/docs/api/safeds/ml/classical/regression/RandomForestRegressor.md b/docs/api/safeds/ml/classical/regression/RandomForestRegressor.md
index a42e8b558..104fb5180 100644
--- a/docs/api/safeds/ml/classical/regression/RandomForestRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/RandomForestRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` RandomForestRegressor {#safeds.ml.classical.regression.RandomForestRegressor data-toc-label='RandomForestRegressor'}
+# `RandomForestRegressor` {#safeds.ml.classical.regression.RandomForestRegressor data-toc-label='[class] RandomForestRegressor'}
Random forest regression.
@@ -63,31 +63,31 @@ pipeline example {
}
```
-## `#!sds attr` isFitted {#safeds.ml.classical.regression.RandomForestRegressor.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.regression.RandomForestRegressor.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` maxDepth {#safeds.ml.classical.regression.RandomForestRegressor.maxDepth data-toc-label='maxDepth'}
+## `maxDepth` {#safeds.ml.classical.regression.RandomForestRegressor.maxDepth data-toc-label='[attribute] maxDepth'}
The maximum depth of each tree.
**Type:** [`Int?`][safeds.lang.Int]
-## `#!sds attr` minSampleCountInLeaves {#safeds.ml.classical.regression.RandomForestRegressor.minSampleCountInLeaves data-toc-label='minSampleCountInLeaves'}
+## `minSampleCountInLeaves` {#safeds.ml.classical.regression.RandomForestRegressor.minSampleCountInLeaves data-toc-label='[attribute] minSampleCountInLeaves'}
The minimum number of samples that must remain in the leaves of each tree.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds attr` treeCount {#safeds.ml.classical.regression.RandomForestRegressor.treeCount data-toc-label='treeCount'}
+## `treeCount` {#safeds.ml.classical.regression.RandomForestRegressor.treeCount data-toc-label='[attribute] treeCount'}
Get the number of trees used in the random forest.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds fun` coefficientOfDetermination {#safeds.ml.classical.regression.RandomForestRegressor.coefficientOfDetermination data-toc-label='coefficientOfDetermination'}
+## `coefficientOfDetermination` {#safeds.ml.classical.regression.RandomForestRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
Compute the coefficient of determination (R²) of the regressor on the given data.
@@ -128,7 +128,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
) -> coefficientOfDetermination: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.regression.RandomForestRegressor.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.regression.RandomForestRegressor.fit data-toc-label='[function] fit'}
Create a copy of this regressor and fit it with the given training data.
@@ -155,7 +155,7 @@ This regressor is not modified.
) -> fittedRegressor: RandomForestRegressor
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.regression.RandomForestRegressor.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.regression.RandomForestRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -175,7 +175,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.regression.RandomForestRegressor.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.regression.RandomForestRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -195,7 +195,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.regression.RandomForestRegressor.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.regression.RandomForestRegressor.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -215,7 +215,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.regression.RandomForestRegressor.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.regression.RandomForestRegressor.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -235,7 +235,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` meanAbsoluteError {#safeds.ml.classical.regression.RandomForestRegressor.meanAbsoluteError data-toc-label='meanAbsoluteError'}
+## `meanAbsoluteError` {#safeds.ml.classical.regression.RandomForestRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
Compute the mean absolute error (MAE) of the regressor on the given data.
@@ -265,7 +265,7 @@ infinity.
) -> meanAbsoluteError: Float
```
-## `#!sds fun` meanDirectionalAccuracy {#safeds.ml.classical.regression.RandomForestRegressor.meanDirectionalAccuracy data-toc-label='meanDirectionalAccuracy'}
+## `meanDirectionalAccuracy` {#safeds.ml.classical.regression.RandomForestRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
Compute the mean directional accuracy (MDA) of the regressor on the given data.
@@ -299,7 +299,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
) -> meanDirectionalAccuracy: Float
```
-## `#!sds fun` meanSquaredError {#safeds.ml.classical.regression.RandomForestRegressor.meanSquaredError data-toc-label='meanSquaredError'}
+## `meanSquaredError` {#safeds.ml.classical.regression.RandomForestRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
Compute the mean squared error (MSE) of the regressor on the given data.
@@ -331,7 +331,7 @@ infinity.
) -> meanSquaredError: Float
```
-## `#!sds fun` medianAbsoluteDeviation {#safeds.ml.classical.regression.RandomForestRegressor.medianAbsoluteDeviation data-toc-label='medianAbsoluteDeviation'}
+## `medianAbsoluteDeviation` {#safeds.ml.classical.regression.RandomForestRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
Compute the median absolute deviation (MAD) of the regressor on the given data.
@@ -361,7 +361,7 @@ positive infinity.
) -> medianAbsoluteDeviation: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.regression.RandomForestRegressor.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.regression.RandomForestRegressor.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -388,7 +388,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.regression.RandomForestRegressor.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.regression.RandomForestRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the regressor's metrics on the given data.
diff --git a/docs/api/safeds/ml/classical/regression/Regressor.md b/docs/api/safeds/ml/classical/regression/Regressor.md
index 93464852b..98e44172f 100644
--- a/docs/api/safeds/ml/classical/regression/Regressor.md
+++ b/docs/api/safeds/ml/classical/regression/Regressor.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# `#!sds abstract class` Regressor {#safeds.ml.classical.regression.Regressor data-toc-label='Regressor'}
+# `Regressor` {#safeds.ml.classical.regression.Regressor data-toc-label='[class] Regressor'}
A model for regression tasks.
@@ -157,13 +157,13 @@ A model for regression tasks.
}
```
-## `#!sds attr` isFitted {#safeds.ml.classical.regression.Regressor.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.regression.Regressor.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds fun` coefficientOfDetermination {#safeds.ml.classical.regression.Regressor.coefficientOfDetermination data-toc-label='coefficientOfDetermination'}
+## `coefficientOfDetermination` {#safeds.ml.classical.regression.Regressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
Compute the coefficient of determination (R²) of the regressor on the given data.
@@ -204,7 +204,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
) -> coefficientOfDetermination: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.regression.Regressor.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.regression.Regressor.fit data-toc-label='[function] fit'}
Create a copy of this model and fit it with the given training data.
@@ -231,7 +231,7 @@ Create a copy of this model and fit it with the given training data.
) -> fittedModel: Regressor
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.regression.Regressor.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.regression.Regressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -251,7 +251,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.regression.Regressor.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.regression.Regressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -271,7 +271,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.regression.Regressor.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.regression.Regressor.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -291,7 +291,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.regression.Regressor.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.regression.Regressor.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -311,7 +311,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` meanAbsoluteError {#safeds.ml.classical.regression.Regressor.meanAbsoluteError data-toc-label='meanAbsoluteError'}
+## `meanAbsoluteError` {#safeds.ml.classical.regression.Regressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
Compute the mean absolute error (MAE) of the regressor on the given data.
@@ -341,7 +341,7 @@ infinity.
) -> meanAbsoluteError: Float
```
-## `#!sds fun` meanDirectionalAccuracy {#safeds.ml.classical.regression.Regressor.meanDirectionalAccuracy data-toc-label='meanDirectionalAccuracy'}
+## `meanDirectionalAccuracy` {#safeds.ml.classical.regression.Regressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
Compute the mean directional accuracy (MDA) of the regressor on the given data.
@@ -375,7 +375,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
) -> meanDirectionalAccuracy: Float
```
-## `#!sds fun` meanSquaredError {#safeds.ml.classical.regression.Regressor.meanSquaredError data-toc-label='meanSquaredError'}
+## `meanSquaredError` {#safeds.ml.classical.regression.Regressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
Compute the mean squared error (MSE) of the regressor on the given data.
@@ -407,7 +407,7 @@ infinity.
) -> meanSquaredError: Float
```
-## `#!sds fun` medianAbsoluteDeviation {#safeds.ml.classical.regression.Regressor.medianAbsoluteDeviation data-toc-label='medianAbsoluteDeviation'}
+## `medianAbsoluteDeviation` {#safeds.ml.classical.regression.Regressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
Compute the median absolute deviation (MAD) of the regressor on the given data.
@@ -437,7 +437,7 @@ positive infinity.
) -> medianAbsoluteDeviation: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.regression.Regressor.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.regression.Regressor.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -464,7 +464,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.regression.Regressor.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.regression.Regressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the regressor's metrics on the given data.
diff --git a/docs/api/safeds/ml/classical/regression/RidgeRegressor.md b/docs/api/safeds/ml/classical/regression/RidgeRegressor.md
index aab7e274d..f901f6e33 100644
--- a/docs/api/safeds/ml/classical/regression/RidgeRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/RidgeRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` RidgeRegressor {#safeds.ml.classical.regression.RidgeRegressor data-toc-label='RidgeRegressor'}
+# `RidgeRegressor` {#safeds.ml.classical.regression.RidgeRegressor data-toc-label='[class] RidgeRegressor'}
Ridge regression.
@@ -50,19 +50,19 @@ pipeline example {
}
```
-## `#!sds attr` alpha {#safeds.ml.classical.regression.RidgeRegressor.alpha data-toc-label='alpha'}
+## `alpha` {#safeds.ml.classical.regression.RidgeRegressor.alpha data-toc-label='[attribute] alpha'}
Get the regularization of the model.
**Type:** [`Float`][safeds.lang.Float]
-## `#!sds attr` isFitted {#safeds.ml.classical.regression.RidgeRegressor.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.regression.RidgeRegressor.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds fun` coefficientOfDetermination {#safeds.ml.classical.regression.RidgeRegressor.coefficientOfDetermination data-toc-label='coefficientOfDetermination'}
+## `coefficientOfDetermination` {#safeds.ml.classical.regression.RidgeRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
Compute the coefficient of determination (R²) of the regressor on the given data.
@@ -103,7 +103,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
) -> coefficientOfDetermination: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.regression.RidgeRegressor.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.regression.RidgeRegressor.fit data-toc-label='[function] fit'}
Create a copy of this regressor and fit it with the given training data.
@@ -130,7 +130,7 @@ This regressor is not modified.
) -> fittedRegressor: RidgeRegressor
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.regression.RidgeRegressor.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.regression.RidgeRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -150,7 +150,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.regression.RidgeRegressor.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.regression.RidgeRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -170,7 +170,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.regression.RidgeRegressor.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.regression.RidgeRegressor.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -190,7 +190,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.regression.RidgeRegressor.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.regression.RidgeRegressor.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -210,7 +210,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` meanAbsoluteError {#safeds.ml.classical.regression.RidgeRegressor.meanAbsoluteError data-toc-label='meanAbsoluteError'}
+## `meanAbsoluteError` {#safeds.ml.classical.regression.RidgeRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
Compute the mean absolute error (MAE) of the regressor on the given data.
@@ -240,7 +240,7 @@ infinity.
) -> meanAbsoluteError: Float
```
-## `#!sds fun` meanDirectionalAccuracy {#safeds.ml.classical.regression.RidgeRegressor.meanDirectionalAccuracy data-toc-label='meanDirectionalAccuracy'}
+## `meanDirectionalAccuracy` {#safeds.ml.classical.regression.RidgeRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
Compute the mean directional accuracy (MDA) of the regressor on the given data.
@@ -274,7 +274,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
) -> meanDirectionalAccuracy: Float
```
-## `#!sds fun` meanSquaredError {#safeds.ml.classical.regression.RidgeRegressor.meanSquaredError data-toc-label='meanSquaredError'}
+## `meanSquaredError` {#safeds.ml.classical.regression.RidgeRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
Compute the mean squared error (MSE) of the regressor on the given data.
@@ -306,7 +306,7 @@ infinity.
) -> meanSquaredError: Float
```
-## `#!sds fun` medianAbsoluteDeviation {#safeds.ml.classical.regression.RidgeRegressor.medianAbsoluteDeviation data-toc-label='medianAbsoluteDeviation'}
+## `medianAbsoluteDeviation` {#safeds.ml.classical.regression.RidgeRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
Compute the median absolute deviation (MAD) of the regressor on the given data.
@@ -336,7 +336,7 @@ positive infinity.
) -> medianAbsoluteDeviation: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.regression.RidgeRegressor.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.regression.RidgeRegressor.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -363,7 +363,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.regression.RidgeRegressor.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.regression.RidgeRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the regressor's metrics on the given data.
diff --git a/docs/api/safeds/ml/classical/regression/SupportVectorRegressor.md b/docs/api/safeds/ml/classical/regression/SupportVectorRegressor.md
index 11c570733..0971060ab 100644
--- a/docs/api/safeds/ml/classical/regression/SupportVectorRegressor.md
+++ b/docs/api/safeds/ml/classical/regression/SupportVectorRegressor.md
@@ -1,4 +1,4 @@
-# `#!sds class` SupportVectorRegressor {#safeds.ml.classical.regression.SupportVectorRegressor data-toc-label='SupportVectorRegressor'}
+# `SupportVectorRegressor` {#safeds.ml.classical.regression.SupportVectorRegressor data-toc-label='[class] SupportVectorRegressor'}
Support vector machine for regression.
@@ -91,25 +91,25 @@ pipeline example {
}
```
-## `#!sds attr` c {#safeds.ml.classical.regression.SupportVectorRegressor.c data-toc-label='c'}
+## `c` {#safeds.ml.classical.regression.SupportVectorRegressor.c data-toc-label='[attribute] c'}
Get the regularization strength.
**Type:** [`Float`][safeds.lang.Float]
-## `#!sds attr` isFitted {#safeds.ml.classical.regression.SupportVectorRegressor.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.classical.regression.SupportVectorRegressor.isFitted data-toc-label='[attribute] isFitted'}
Whether the model is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds attr` kernel {#safeds.ml.classical.regression.SupportVectorRegressor.kernel data-toc-label='kernel'}
+## `kernel` {#safeds.ml.classical.regression.SupportVectorRegressor.kernel data-toc-label='[attribute] kernel'}
Get the type of kernel used.
**Type:** [`Kernel`][safeds.ml.classical.regression.SupportVectorRegressor.Kernel]
-## `#!sds fun` coefficientOfDetermination {#safeds.ml.classical.regression.SupportVectorRegressor.coefficientOfDetermination data-toc-label='coefficientOfDetermination'}
+## `coefficientOfDetermination` {#safeds.ml.classical.regression.SupportVectorRegressor.coefficientOfDetermination data-toc-label='[function] coefficientOfDetermination'}
Compute the coefficient of determination (R²) of the regressor on the given data.
@@ -150,7 +150,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
) -> coefficientOfDetermination: Float
```
-## `#!sds fun` fit {#safeds.ml.classical.regression.SupportVectorRegressor.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.classical.regression.SupportVectorRegressor.fit data-toc-label='[function] fit'}
Create a copy of this regressor and fit it with the given training data.
@@ -177,7 +177,7 @@ This regressor is not modified.
) -> fittedRegressor: SupportVectorRegressor
```
-## `#!sds fun` getFeatureNames {#safeds.ml.classical.regression.SupportVectorRegressor.getFeatureNames data-toc-label='getFeatureNames'}
+## `getFeatureNames` {#safeds.ml.classical.regression.SupportVectorRegressor.getFeatureNames data-toc-label='[function] getFeatureNames'}
Return the names of the feature columns.
@@ -197,7 +197,7 @@ Return the names of the feature columns.
fun getFeatureNames() -> featureNames: List
```
-## `#!sds fun` getFeaturesSchema {#safeds.ml.classical.regression.SupportVectorRegressor.getFeaturesSchema data-toc-label='getFeaturesSchema'}
+## `getFeaturesSchema` {#safeds.ml.classical.regression.SupportVectorRegressor.getFeaturesSchema data-toc-label='[function] getFeaturesSchema'}
Return the schema of the feature columns.
@@ -217,7 +217,7 @@ Return the schema of the feature columns.
fun getFeaturesSchema() -> featureSchema: Schema
```
-## `#!sds fun` getTargetName {#safeds.ml.classical.regression.SupportVectorRegressor.getTargetName data-toc-label='getTargetName'}
+## `getTargetName` {#safeds.ml.classical.regression.SupportVectorRegressor.getTargetName data-toc-label='[function] getTargetName'}
Return the name of the target column.
@@ -237,7 +237,7 @@ Return the name of the target column.
fun getTargetName() -> targetName: String
```
-## `#!sds fun` getTargetType {#safeds.ml.classical.regression.SupportVectorRegressor.getTargetType data-toc-label='getTargetType'}
+## `getTargetType` {#safeds.ml.classical.regression.SupportVectorRegressor.getTargetType data-toc-label='[function] getTargetType'}
Return the type of the target column.
@@ -257,7 +257,7 @@ Return the type of the target column.
fun getTargetType() -> targetType: DataType
```
-## `#!sds fun` meanAbsoluteError {#safeds.ml.classical.regression.SupportVectorRegressor.meanAbsoluteError data-toc-label='meanAbsoluteError'}
+## `meanAbsoluteError` {#safeds.ml.classical.regression.SupportVectorRegressor.meanAbsoluteError data-toc-label='[function] meanAbsoluteError'}
Compute the mean absolute error (MAE) of the regressor on the given data.
@@ -287,7 +287,7 @@ infinity.
) -> meanAbsoluteError: Float
```
-## `#!sds fun` meanDirectionalAccuracy {#safeds.ml.classical.regression.SupportVectorRegressor.meanDirectionalAccuracy data-toc-label='meanDirectionalAccuracy'}
+## `meanDirectionalAccuracy` {#safeds.ml.classical.regression.SupportVectorRegressor.meanDirectionalAccuracy data-toc-label='[function] meanDirectionalAccuracy'}
Compute the mean directional accuracy (MDA) of the regressor on the given data.
@@ -321,7 +321,7 @@ for other types of data. Because of this, it is not included in the `summarize_m
) -> meanDirectionalAccuracy: Float
```
-## `#!sds fun` meanSquaredError {#safeds.ml.classical.regression.SupportVectorRegressor.meanSquaredError data-toc-label='meanSquaredError'}
+## `meanSquaredError` {#safeds.ml.classical.regression.SupportVectorRegressor.meanSquaredError data-toc-label='[function] meanSquaredError'}
Compute the mean squared error (MSE) of the regressor on the given data.
@@ -353,7 +353,7 @@ infinity.
) -> meanSquaredError: Float
```
-## `#!sds fun` medianAbsoluteDeviation {#safeds.ml.classical.regression.SupportVectorRegressor.medianAbsoluteDeviation data-toc-label='medianAbsoluteDeviation'}
+## `medianAbsoluteDeviation` {#safeds.ml.classical.regression.SupportVectorRegressor.medianAbsoluteDeviation data-toc-label='[function] medianAbsoluteDeviation'}
Compute the median absolute deviation (MAD) of the regressor on the given data.
@@ -383,7 +383,7 @@ positive infinity.
) -> medianAbsoluteDeviation: Float
```
-## `#!sds fun` predict {#safeds.ml.classical.regression.SupportVectorRegressor.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.classical.regression.SupportVectorRegressor.predict data-toc-label='[function] predict'}
Predict the target values on the given dataset.
@@ -410,7 +410,7 @@ Predict the target values on the given dataset.
) -> prediction: TabularDataset
```
-## `#!sds fun` summarizeMetrics {#safeds.ml.classical.regression.SupportVectorRegressor.summarizeMetrics data-toc-label='summarizeMetrics'}
+## `summarizeMetrics` {#safeds.ml.classical.regression.SupportVectorRegressor.summarizeMetrics data-toc-label='[function] summarizeMetrics'}
Summarize the regressor's metrics on the given data.
@@ -436,7 +436,7 @@ Summarize the regressor's metrics on the given data.
) -> metrics: Table
```
-## `#!sds enum` Kernel {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel data-toc-label='Kernel'}
+## `Kernel` {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel data-toc-label='[enum] Kernel'}
The kernel functions that can be used in the support vector machine.
@@ -474,11 +474,11 @@ The kernel functions that can be used in the support vector machine.
}
```
-### Linear {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel.Linear data-toc-label='Linear'}
+### `Linear` {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel.Linear data-toc-label='[variant] Linear'}
A linear kernel.
-### Polynomial {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel.Polynomial data-toc-label='Polynomial'}
+### `Polynomial` {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel.Polynomial data-toc-label='[variant] Polynomial'}
A polynomial kernel.
@@ -488,10 +488,10 @@ A polynomial kernel.
|------|------|-------------|---------|
| `degree` | [`Int`][safeds.lang.Int] | The degree of the polynomial. | - |
-### RadialBasisFunction {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel.RadialBasisFunction data-toc-label='RadialBasisFunction'}
+### `RadialBasisFunction` {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel.RadialBasisFunction data-toc-label='[variant] RadialBasisFunction'}
A radial basis function kernel.
-### Sigmoid {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel.Sigmoid data-toc-label='Sigmoid'}
+### `Sigmoid` {#safeds.ml.classical.regression.SupportVectorRegressor.Kernel.Sigmoid data-toc-label='[variant] Sigmoid'}
A sigmoid kernel.
diff --git a/docs/api/safeds/ml/metrics/ClassificationMetrics.md b/docs/api/safeds/ml/metrics/ClassificationMetrics.md
index 78096d43d..27f40f016 100644
--- a/docs/api/safeds/ml/metrics/ClassificationMetrics.md
+++ b/docs/api/safeds/ml/metrics/ClassificationMetrics.md
@@ -1,4 +1,4 @@
-# `#!sds abstract class` ClassificationMetrics {#safeds.ml.metrics.ClassificationMetrics data-toc-label='ClassificationMetrics'}
+# `ClassificationMetrics` {#safeds.ml.metrics.ClassificationMetrics data-toc-label='[class] ClassificationMetrics'}
A collection of classification metrics.
@@ -99,7 +99,7 @@ A collection of classification metrics.
}
```
-## `#!sds static fun` accuracy {#safeds.ml.metrics.ClassificationMetrics.accuracy data-toc-label='accuracy'}
+## `accuracy` {#safeds.ml.metrics.ClassificationMetrics.accuracy data-toc-label='[static-function] accuracy'}
Compute the accuracy on the given data.
@@ -129,7 +129,7 @@ better. Results range from 0.0 to 1.0.
) -> accuracy: Float
```
-## `#!sds static fun` f1Score {#safeds.ml.metrics.ClassificationMetrics.f1Score data-toc-label='f1Score'}
+## `f1Score` {#safeds.ml.metrics.ClassificationMetrics.f1Score data-toc-label='[static-function] f1Score'}
Compute the F₁ score on the given data.
@@ -162,7 +162,7 @@ classifier. Results range from 0.0 to 1.0.
) -> f1Score: Float
```
-## `#!sds static fun` precision {#safeds.ml.metrics.ClassificationMetrics.precision data-toc-label='precision'}
+## `precision` {#safeds.ml.metrics.ClassificationMetrics.precision data-toc-label='[static-function] precision'}
Compute the precision on the given data.
@@ -194,7 +194,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> precision: Float
```
-## `#!sds static fun` recall {#safeds.ml.metrics.ClassificationMetrics.recall data-toc-label='recall'}
+## `recall` {#safeds.ml.metrics.ClassificationMetrics.recall data-toc-label='[static-function] recall'}
Compute the recall on the given data.
@@ -226,7 +226,7 @@ better the classifier. Results range from 0.0 to 1.0.
) -> recall: Float
```
-## `#!sds static fun` summarize {#safeds.ml.metrics.ClassificationMetrics.summarize data-toc-label='summarize'}
+## `summarize` {#safeds.ml.metrics.ClassificationMetrics.summarize data-toc-label='[static-function] summarize'}
Summarize classification metrics on the given data.
diff --git a/docs/api/safeds/ml/metrics/RegressionMetrics.md b/docs/api/safeds/ml/metrics/RegressionMetrics.md
index 0aaefd55d..f1dd1ff0a 100644
--- a/docs/api/safeds/ml/metrics/RegressionMetrics.md
+++ b/docs/api/safeds/ml/metrics/RegressionMetrics.md
@@ -1,4 +1,4 @@
-# `#!sds abstract class` RegressionMetrics {#safeds.ml.metrics.RegressionMetrics data-toc-label='RegressionMetrics'}
+# `RegressionMetrics` {#safeds.ml.metrics.RegressionMetrics data-toc-label='[class] RegressionMetrics'}
A collection of regression metrics.
@@ -134,7 +134,7 @@ A collection of regression metrics.
}
```
-## `#!sds static fun` coefficientOfDetermination {#safeds.ml.metrics.RegressionMetrics.coefficientOfDetermination data-toc-label='coefficientOfDetermination'}
+## `coefficientOfDetermination` {#safeds.ml.metrics.RegressionMetrics.coefficientOfDetermination data-toc-label='[static-function] coefficientOfDetermination'}
Compute the coefficient of determination (R²) on the given data.
@@ -177,7 +177,7 @@ to 1.0. You can interpret the coefficient of determination as follows:
) -> coefficientOfDetermination: Float
```
-## `#!sds static fun` meanAbsoluteError {#safeds.ml.metrics.RegressionMetrics.meanAbsoluteError data-toc-label='meanAbsoluteError'}
+## `meanAbsoluteError` {#safeds.ml.metrics.RegressionMetrics.meanAbsoluteError data-toc-label='[static-function] meanAbsoluteError'}
Compute the mean absolute error (MAE) on the given data.
@@ -209,7 +209,7 @@ infinity.
) -> meanAbsoluteError: Float
```
-## `#!sds static fun` meanDirectionalAccuracy {#safeds.ml.metrics.RegressionMetrics.meanDirectionalAccuracy data-toc-label='meanDirectionalAccuracy'}
+## `meanDirectionalAccuracy` {#safeds.ml.metrics.RegressionMetrics.meanDirectionalAccuracy data-toc-label='[static-function] meanDirectionalAccuracy'}
Compute the mean directional accuracy (MDA) on the given data.
@@ -245,7 +245,7 @@ for other types of data. Because of this, it is not included in the `summarize`
) -> meanDirectionalAccuracy: Float
```
-## `#!sds static fun` meanSquaredError {#safeds.ml.metrics.RegressionMetrics.meanSquaredError data-toc-label='meanSquaredError'}
+## `meanSquaredError` {#safeds.ml.metrics.RegressionMetrics.meanSquaredError data-toc-label='[static-function] meanSquaredError'}
Compute the mean squared error (MSE) on the given data.
@@ -279,7 +279,7 @@ infinity.
) -> meanSquaredError: Float
```
-## `#!sds static fun` medianAbsoluteDeviation {#safeds.ml.metrics.RegressionMetrics.medianAbsoluteDeviation data-toc-label='medianAbsoluteDeviation'}
+## `medianAbsoluteDeviation` {#safeds.ml.metrics.RegressionMetrics.medianAbsoluteDeviation data-toc-label='[static-function] medianAbsoluteDeviation'}
Compute the median absolute deviation (MAD) on the given data.
@@ -311,7 +311,7 @@ positive infinity.
) -> medianAbsoluteDeviation: Float
```
-## `#!sds static fun` summarize {#safeds.ml.metrics.RegressionMetrics.summarize data-toc-label='summarize'}
+## `summarize` {#safeds.ml.metrics.RegressionMetrics.summarize data-toc-label='[static-function] summarize'}
Summarize regression metrics on the given data.
diff --git a/docs/api/safeds/ml/nn/NeuralNetworkClassifier.md b/docs/api/safeds/ml/nn/NeuralNetworkClassifier.md
index cc10edda7..d6f8d3b4b 100644
--- a/docs/api/safeds/ml/nn/NeuralNetworkClassifier.md
+++ b/docs/api/safeds/ml/nn/NeuralNetworkClassifier.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` NeuralNetworkClassifier {#safeds.ml.nn.NeuralNetworkClassifier data-toc-label='NeuralNetworkClassifier'}
+# :test_tube:{ title="Experimental" } `NeuralNetworkClassifier` {#safeds.ml.nn.NeuralNetworkClassifier data-toc-label='[class] NeuralNetworkClassifier'}
A NeuralNetworkClassifier is a neural network that is used for classification tasks.
@@ -84,13 +84,13 @@ A NeuralNetworkClassifier is a neural network that is used for classification ta
}
```
-## `#!sds attr` isFitted {#safeds.ml.nn.NeuralNetworkClassifier.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.nn.NeuralNetworkClassifier.isFitted data-toc-label='[attribute] isFitted'}
Whether the classifier is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds fun` fit {#safeds.ml.nn.NeuralNetworkClassifier.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.nn.NeuralNetworkClassifier.fit data-toc-label='[function] fit'}
Train the neural network with given training data.
@@ -138,7 +138,7 @@ pipeline example {
}
```
-## `#!sds fun` predict {#safeds.ml.nn.NeuralNetworkClassifier.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.nn.NeuralNetworkClassifier.predict data-toc-label='[function] predict'}
Make a prediction for the given test data.
diff --git a/docs/api/safeds/ml/nn/NeuralNetworkRegressor.md b/docs/api/safeds/ml/nn/NeuralNetworkRegressor.md
index 81d87e4eb..48d2da94a 100644
--- a/docs/api/safeds/ml/nn/NeuralNetworkRegressor.md
+++ b/docs/api/safeds/ml/nn/NeuralNetworkRegressor.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` NeuralNetworkRegressor {#safeds.ml.nn.NeuralNetworkRegressor data-toc-label='NeuralNetworkRegressor'}
+# :test_tube:{ title="Experimental" } `NeuralNetworkRegressor` {#safeds.ml.nn.NeuralNetworkRegressor data-toc-label='[class] NeuralNetworkRegressor'}
A NeuralNetworkRegressor is a neural network that is used for regression tasks.
@@ -84,13 +84,13 @@ A NeuralNetworkRegressor is a neural network that is used for regression tasks.
}
```
-## `#!sds attr` isFitted {#safeds.ml.nn.NeuralNetworkRegressor.isFitted data-toc-label='isFitted'}
+## `isFitted` {#safeds.ml.nn.NeuralNetworkRegressor.isFitted data-toc-label='[attribute] isFitted'}
Whether the regressor is fitted.
**Type:** [`Boolean`][safeds.lang.Boolean]
-## `#!sds fun` fit {#safeds.ml.nn.NeuralNetworkRegressor.fit data-toc-label='fit'}
+## `fit` {#safeds.ml.nn.NeuralNetworkRegressor.fit data-toc-label='[function] fit'}
Train the neural network with given training data.
@@ -138,7 +138,7 @@ pipeline example {
}
```
-## `#!sds fun` predict {#safeds.ml.nn.NeuralNetworkRegressor.predict data-toc-label='predict'}
+## `predict` {#safeds.ml.nn.NeuralNetworkRegressor.predict data-toc-label='[function] predict'}
Make a prediction for the given test data.
diff --git a/docs/api/safeds/ml/nn/converters/InputConversion.md b/docs/api/safeds/ml/nn/converters/InputConversion.md
index 0af33f2b7..b52dc929b 100644
--- a/docs/api/safeds/ml/nn/converters/InputConversion.md
+++ b/docs/api/safeds/ml/nn/converters/InputConversion.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# :test_tube:{ title="Experimental" } `#!sds abstract class` InputConversion {#safeds.ml.nn.converters.InputConversion data-toc-label='InputConversion'}
+# :test_tube:{ title="Experimental" } `InputConversion` {#safeds.ml.nn.converters.InputConversion data-toc-label='[class] InputConversion'}
The input conversion for a neural network, defines the input parameters for the neural network.
diff --git a/docs/api/safeds/ml/nn/converters/InputConversionImage.md b/docs/api/safeds/ml/nn/converters/InputConversionImage.md
index d7a6d09f4..004a7f207 100644
--- a/docs/api/safeds/ml/nn/converters/InputConversionImage.md
+++ b/docs/api/safeds/ml/nn/converters/InputConversionImage.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` InputConversionImage {#safeds.ml.nn.converters.InputConversionImage data-toc-label='InputConversionImage'}
+# :test_tube:{ title="Experimental" } `InputConversionImage` {#safeds.ml.nn.converters.InputConversionImage data-toc-label='[class] InputConversionImage'}
The input conversion for a neural network, defines the input parameters for the neural network.
diff --git a/docs/api/safeds/ml/nn/converters/InputConversionTable.md b/docs/api/safeds/ml/nn/converters/InputConversionTable.md
index cd1984bab..24668f830 100644
--- a/docs/api/safeds/ml/nn/converters/InputConversionTable.md
+++ b/docs/api/safeds/ml/nn/converters/InputConversionTable.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` InputConversionTable {#safeds.ml.nn.converters.InputConversionTable data-toc-label='InputConversionTable'}
+# :test_tube:{ title="Experimental" } `InputConversionTable` {#safeds.ml.nn.converters.InputConversionTable data-toc-label='[class] InputConversionTable'}
The input conversion for a neural network defines the input parameters for the neural network.
diff --git a/docs/api/safeds/ml/nn/converters/InputConversionTimeSeries.md b/docs/api/safeds/ml/nn/converters/InputConversionTimeSeries.md
index 32dba7f34..f24d61980 100644
--- a/docs/api/safeds/ml/nn/converters/InputConversionTimeSeries.md
+++ b/docs/api/safeds/ml/nn/converters/InputConversionTimeSeries.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` InputConversionTimeSeries {#safeds.ml.nn.converters.InputConversionTimeSeries data-toc-label='InputConversionTimeSeries'}
+# :test_tube:{ title="Experimental" } `InputConversionTimeSeries` {#safeds.ml.nn.converters.InputConversionTimeSeries data-toc-label='[class] InputConversionTimeSeries'}
The input conversion for a neural network, defines the input parameters for the neural network.
diff --git a/docs/api/safeds/ml/nn/converters/OutputConversion.md b/docs/api/safeds/ml/nn/converters/OutputConversion.md
index c1dd0e278..9227433d6 100644
--- a/docs/api/safeds/ml/nn/converters/OutputConversion.md
+++ b/docs/api/safeds/ml/nn/converters/OutputConversion.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# :test_tube:{ title="Experimental" } `#!sds abstract class` OutputConversion {#safeds.ml.nn.converters.OutputConversion data-toc-label='OutputConversion'}
+# :test_tube:{ title="Experimental" } `OutputConversion` {#safeds.ml.nn.converters.OutputConversion data-toc-label='[class] OutputConversion'}
The output conversion for a neural network, defines the output parameters for the neural network.
diff --git a/docs/api/safeds/ml/nn/converters/OutputConversionImageToColumn.md b/docs/api/safeds/ml/nn/converters/OutputConversionImageToColumn.md
index 1568414d4..591fc8eb4 100644
--- a/docs/api/safeds/ml/nn/converters/OutputConversionImageToColumn.md
+++ b/docs/api/safeds/ml/nn/converters/OutputConversionImageToColumn.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` OutputConversionImageToColumn {#safeds.ml.nn.converters.OutputConversionImageToColumn data-toc-label='OutputConversionImageToColumn'}
+# :test_tube:{ title="Experimental" } `OutputConversionImageToColumn` {#safeds.ml.nn.converters.OutputConversionImageToColumn data-toc-label='[class] OutputConversionImageToColumn'}
**Parent type:** [`OutputConversion>`][safeds.ml.nn.converters.OutputConversion]
diff --git a/docs/api/safeds/ml/nn/converters/OutputConversionImageToImage.md b/docs/api/safeds/ml/nn/converters/OutputConversionImageToImage.md
index 42a75de4b..283b0d74e 100644
--- a/docs/api/safeds/ml/nn/converters/OutputConversionImageToImage.md
+++ b/docs/api/safeds/ml/nn/converters/OutputConversionImageToImage.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` OutputConversionImageToImage {#safeds.ml.nn.converters.OutputConversionImageToImage data-toc-label='OutputConversionImageToImage'}
+# :test_tube:{ title="Experimental" } `OutputConversionImageToImage` {#safeds.ml.nn.converters.OutputConversionImageToImage data-toc-label='[class] OutputConversionImageToImage'}
**Parent type:** [`OutputConversion`][safeds.ml.nn.converters.OutputConversion]
diff --git a/docs/api/safeds/ml/nn/converters/OutputConversionImageToTable.md b/docs/api/safeds/ml/nn/converters/OutputConversionImageToTable.md
index 116528b1f..38b85f0f8 100644
--- a/docs/api/safeds/ml/nn/converters/OutputConversionImageToTable.md
+++ b/docs/api/safeds/ml/nn/converters/OutputConversionImageToTable.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` OutputConversionImageToTable {#safeds.ml.nn.converters.OutputConversionImageToTable data-toc-label='OutputConversionImageToTable'}
+# :test_tube:{ title="Experimental" } `OutputConversionImageToTable` {#safeds.ml.nn.converters.OutputConversionImageToTable data-toc-label='[class] OutputConversionImageToTable'}
**Parent type:** [`OutputConversion`][safeds.ml.nn.converters.OutputConversion]
diff --git a/docs/api/safeds/ml/nn/converters/OutputConversionTable.md b/docs/api/safeds/ml/nn/converters/OutputConversionTable.md
index 2434ef85e..66b277fa6 100644
--- a/docs/api/safeds/ml/nn/converters/OutputConversionTable.md
+++ b/docs/api/safeds/ml/nn/converters/OutputConversionTable.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` OutputConversionTable {#safeds.ml.nn.converters.OutputConversionTable data-toc-label='OutputConversionTable'}
+# :test_tube:{ title="Experimental" } `OutputConversionTable` {#safeds.ml.nn.converters.OutputConversionTable data-toc-label='[class] OutputConversionTable'}
The output conversion for a neural network defines the output parameters for the neural network.
diff --git a/docs/api/safeds/ml/nn/converters/OutputConversionTimeSeries.md b/docs/api/safeds/ml/nn/converters/OutputConversionTimeSeries.md
index 4ca7a2601..4a9374058 100644
--- a/docs/api/safeds/ml/nn/converters/OutputConversionTimeSeries.md
+++ b/docs/api/safeds/ml/nn/converters/OutputConversionTimeSeries.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` OutputConversionTimeSeries {#safeds.ml.nn.converters.OutputConversionTimeSeries data-toc-label='OutputConversionTimeSeries'}
+# :test_tube:{ title="Experimental" } `OutputConversionTimeSeries` {#safeds.ml.nn.converters.OutputConversionTimeSeries data-toc-label='[class] OutputConversionTimeSeries'}
The output conversion for a neural network, defines the output parameters for the neural network.
diff --git a/docs/api/safeds/ml/nn/layers/AveragePooling2DLayer.md b/docs/api/safeds/ml/nn/layers/AveragePooling2DLayer.md
index 6e9799c40..1a60cb1d4 100644
--- a/docs/api/safeds/ml/nn/layers/AveragePooling2DLayer.md
+++ b/docs/api/safeds/ml/nn/layers/AveragePooling2DLayer.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` AveragePooling2DLayer {#safeds.ml.nn.layers.AveragePooling2DLayer data-toc-label='AveragePooling2DLayer'}
+# :test_tube:{ title="Experimental" } `AveragePooling2DLayer` {#safeds.ml.nn.layers.AveragePooling2DLayer data-toc-label='[class] AveragePooling2DLayer'}
**Parent type:** [`Layer`][safeds.ml.nn.layers.Layer]
@@ -29,13 +29,13 @@
}
```
-## `#!sds attr` inputSize {#safeds.ml.nn.layers.AveragePooling2DLayer.inputSize data-toc-label='inputSize'}
+## `inputSize` {#safeds.ml.nn.layers.AveragePooling2DLayer.inputSize data-toc-label='[attribute] inputSize'}
Get the input_size of this layer.
**Type:** [`ImageSize`][safeds.data.image.typing.ImageSize]
-## `#!sds attr` outputSize {#safeds.ml.nn.layers.AveragePooling2DLayer.outputSize data-toc-label='outputSize'}
+## `outputSize` {#safeds.ml.nn.layers.AveragePooling2DLayer.outputSize data-toc-label='[attribute] outputSize'}
Get the output_size of this layer.
diff --git a/docs/api/safeds/ml/nn/layers/Convolutional2DLayer.md b/docs/api/safeds/ml/nn/layers/Convolutional2DLayer.md
index d72d09b3e..376391e2b 100644
--- a/docs/api/safeds/ml/nn/layers/Convolutional2DLayer.md
+++ b/docs/api/safeds/ml/nn/layers/Convolutional2DLayer.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` Convolutional2DLayer {#safeds.ml.nn.layers.Convolutional2DLayer data-toc-label='Convolutional2DLayer'}
+# :test_tube:{ title="Experimental" } `Convolutional2DLayer` {#safeds.ml.nn.layers.Convolutional2DLayer data-toc-label='[class] Convolutional2DLayer'}
**Parent type:** [`Layer`][safeds.ml.nn.layers.Layer]
@@ -35,13 +35,13 @@
}
```
-## `#!sds attr` inputSize {#safeds.ml.nn.layers.Convolutional2DLayer.inputSize data-toc-label='inputSize'}
+## `inputSize` {#safeds.ml.nn.layers.Convolutional2DLayer.inputSize data-toc-label='[attribute] inputSize'}
Get the input_size of this layer.
**Type:** [`ImageSize`][safeds.data.image.typing.ImageSize]
-## `#!sds attr` outputSize {#safeds.ml.nn.layers.Convolutional2DLayer.outputSize data-toc-label='outputSize'}
+## `outputSize` {#safeds.ml.nn.layers.Convolutional2DLayer.outputSize data-toc-label='[attribute] outputSize'}
Get the output_size of this layer.
diff --git a/docs/api/safeds/ml/nn/layers/ConvolutionalTranspose2DLayer.md b/docs/api/safeds/ml/nn/layers/ConvolutionalTranspose2DLayer.md
index 20ea71240..57d89cc46 100644
--- a/docs/api/safeds/ml/nn/layers/ConvolutionalTranspose2DLayer.md
+++ b/docs/api/safeds/ml/nn/layers/ConvolutionalTranspose2DLayer.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` ConvolutionalTranspose2DLayer {#safeds.ml.nn.layers.ConvolutionalTranspose2DLayer data-toc-label='ConvolutionalTranspose2DLayer'}
+# :test_tube:{ title="Experimental" } `ConvolutionalTranspose2DLayer` {#safeds.ml.nn.layers.ConvolutionalTranspose2DLayer data-toc-label='[class] ConvolutionalTranspose2DLayer'}
**Parent type:** [`Convolutional2DLayer`][safeds.ml.nn.layers.Convolutional2DLayer]
@@ -24,13 +24,13 @@
) sub Convolutional2DLayer
```
-## `#!sds attr` inputSize {#safeds.ml.nn.layers.ConvolutionalTranspose2DLayer.inputSize data-toc-label='inputSize'}
+## `inputSize` {#safeds.ml.nn.layers.ConvolutionalTranspose2DLayer.inputSize data-toc-label='[attribute] inputSize'}
Get the input_size of this layer.
**Type:** [`ImageSize`][safeds.data.image.typing.ImageSize]
-## `#!sds attr` outputSize {#safeds.ml.nn.layers.ConvolutionalTranspose2DLayer.outputSize data-toc-label='outputSize'}
+## `outputSize` {#safeds.ml.nn.layers.ConvolutionalTranspose2DLayer.outputSize data-toc-label='[attribute] outputSize'}
Get the output_size of this layer.
diff --git a/docs/api/safeds/ml/nn/layers/FlattenLayer.md b/docs/api/safeds/ml/nn/layers/FlattenLayer.md
index f03c23e0c..1ba7deb73 100644
--- a/docs/api/safeds/ml/nn/layers/FlattenLayer.md
+++ b/docs/api/safeds/ml/nn/layers/FlattenLayer.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` FlattenLayer {#safeds.ml.nn.layers.FlattenLayer data-toc-label='FlattenLayer'}
+# :test_tube:{ title="Experimental" } `FlattenLayer` {#safeds.ml.nn.layers.FlattenLayer data-toc-label='[class] FlattenLayer'}
**Parent type:** [`Layer`][safeds.ml.nn.layers.Layer]
@@ -17,13 +17,13 @@
}
```
-## `#!sds attr` inputSize {#safeds.ml.nn.layers.FlattenLayer.inputSize data-toc-label='inputSize'}
+## `inputSize` {#safeds.ml.nn.layers.FlattenLayer.inputSize data-toc-label='[attribute] inputSize'}
Get the input_size of this layer.
**Type:** [`ImageSize`][safeds.data.image.typing.ImageSize]
-## `#!sds attr` outputSize {#safeds.ml.nn.layers.FlattenLayer.outputSize data-toc-label='outputSize'}
+## `outputSize` {#safeds.ml.nn.layers.FlattenLayer.outputSize data-toc-label='[attribute] outputSize'}
Get the output_size of this layer.
diff --git a/docs/api/safeds/ml/nn/layers/ForwardLayer.md b/docs/api/safeds/ml/nn/layers/ForwardLayer.md
index 550f19b4a..aca87c32e 100644
--- a/docs/api/safeds/ml/nn/layers/ForwardLayer.md
+++ b/docs/api/safeds/ml/nn/layers/ForwardLayer.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` ForwardLayer {#safeds.ml.nn.layers.ForwardLayer data-toc-label='ForwardLayer'}
+# :test_tube:{ title="Experimental" } `ForwardLayer` {#safeds.ml.nn.layers.ForwardLayer data-toc-label='[class] ForwardLayer'}
**Parent type:** [`Layer`][safeds.ml.nn.layers.Layer]
@@ -27,13 +27,13 @@
}
```
-## `#!sds attr` inputSize {#safeds.ml.nn.layers.ForwardLayer.inputSize data-toc-label='inputSize'}
+## `inputSize` {#safeds.ml.nn.layers.ForwardLayer.inputSize data-toc-label='[attribute] inputSize'}
Get the input_size of this layer.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds attr` outputSize {#safeds.ml.nn.layers.ForwardLayer.outputSize data-toc-label='outputSize'}
+## `outputSize` {#safeds.ml.nn.layers.ForwardLayer.outputSize data-toc-label='[attribute] outputSize'}
Get the output_size of this layer.
diff --git a/docs/api/safeds/ml/nn/layers/LSTMLayer.md b/docs/api/safeds/ml/nn/layers/LSTMLayer.md
index 9a70b191c..33abe035c 100644
--- a/docs/api/safeds/ml/nn/layers/LSTMLayer.md
+++ b/docs/api/safeds/ml/nn/layers/LSTMLayer.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` LSTMLayer {#safeds.ml.nn.layers.LSTMLayer data-toc-label='LSTMLayer'}
+# :test_tube:{ title="Experimental" } `LSTMLayer` {#safeds.ml.nn.layers.LSTMLayer data-toc-label='[class] LSTMLayer'}
**Parent type:** [`Layer`][safeds.ml.nn.layers.Layer]
@@ -27,13 +27,13 @@
}
```
-## `#!sds attr` inputSize {#safeds.ml.nn.layers.LSTMLayer.inputSize data-toc-label='inputSize'}
+## `inputSize` {#safeds.ml.nn.layers.LSTMLayer.inputSize data-toc-label='[attribute] inputSize'}
Get the input_size of this layer.
**Type:** [`Int`][safeds.lang.Int]
-## `#!sds attr` outputSize {#safeds.ml.nn.layers.LSTMLayer.outputSize data-toc-label='outputSize'}
+## `outputSize` {#safeds.ml.nn.layers.LSTMLayer.outputSize data-toc-label='[attribute] outputSize'}
Get the output_size of this layer.
diff --git a/docs/api/safeds/ml/nn/layers/Layer.md b/docs/api/safeds/ml/nn/layers/Layer.md
index 70872e9f8..d15c981f4 100644
--- a/docs/api/safeds/ml/nn/layers/Layer.md
+++ b/docs/api/safeds/ml/nn/layers/Layer.md
@@ -3,7 +3,7 @@ search:
boost: 0.5
---
-# :test_tube:{ title="Experimental" } `#!sds abstract class` Layer {#safeds.ml.nn.layers.Layer data-toc-label='Layer'}
+# :test_tube:{ title="Experimental" } `Layer` {#safeds.ml.nn.layers.Layer data-toc-label='[class] Layer'}
**Inheritors:**
diff --git a/docs/api/safeds/ml/nn/layers/MaxPooling2DLayer.md b/docs/api/safeds/ml/nn/layers/MaxPooling2DLayer.md
index ff459690d..2a1427051 100644
--- a/docs/api/safeds/ml/nn/layers/MaxPooling2DLayer.md
+++ b/docs/api/safeds/ml/nn/layers/MaxPooling2DLayer.md
@@ -1,4 +1,4 @@
-# :test_tube:{ title="Experimental" } `#!sds class` MaxPooling2DLayer {#safeds.ml.nn.layers.MaxPooling2DLayer data-toc-label='MaxPooling2DLayer'}
+# :test_tube:{ title="Experimental" } `MaxPooling2DLayer` {#safeds.ml.nn.layers.MaxPooling2DLayer data-toc-label='[class] MaxPooling2DLayer'}
**Parent type:** [`Layer`][safeds.ml.nn.layers.Layer]
@@ -29,13 +29,13 @@
}
```
-## `#!sds attr` inputSize {#safeds.ml.nn.layers.MaxPooling2DLayer.inputSize data-toc-label='inputSize'}
+## `inputSize` {#safeds.ml.nn.layers.MaxPooling2DLayer.inputSize data-toc-label='[attribute] inputSize'}
Get the input_size of this layer.
**Type:** [`ImageSize`][safeds.data.image.typing.ImageSize]
-## `#!sds attr` outputSize {#safeds.ml.nn.layers.MaxPooling2DLayer.outputSize data-toc-label='outputSize'}
+## `outputSize` {#safeds.ml.nn.layers.MaxPooling2DLayer.outputSize data-toc-label='[attribute] outputSize'}
Get the output_size of this layer.
diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml
index e56880782..6c35ab7ce 100644
--- a/docs/mkdocs.yml
+++ b/docs/mkdocs.yml
@@ -73,6 +73,7 @@ nav:
theme:
name: material
+ custom_dir: src/overrides
logo: https://raw.githubusercontent.com/Safe-DS/.github/main/branding/safe-ds_logo_rounded.svg
favicon: https://raw.githubusercontent.com/Safe-DS/.github/main/branding/safe-ds_logo_rounded.svg
palette:
diff --git a/docs/src/overrides/partials/toc-item.html b/docs/src/overrides/partials/toc-item.html
new file mode 100644
index 000000000..da0396269
--- /dev/null
+++ b/docs/src/overrides/partials/toc-item.html
@@ -0,0 +1,36 @@
+
+