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b/_images/social_previews/summary_tutorials_robustness_4a438c7e.png differ diff --git a/_images/social_previews/summary_tutorials_sentiment_865fbf96.png b/_images/social_previews/summary_tutorials_sentiment_865fbf96.png index 7a090216..b7521810 100644 Binary files a/_images/social_previews/summary_tutorials_sentiment_865fbf96.png and b/_images/social_previews/summary_tutorials_sentiment_865fbf96.png differ diff --git a/_images/social_previews/summary_tutorials_textdescriptives_046f899f.png b/_images/social_previews/summary_tutorials_textdescriptives_046f899f.png index 817b19be..18fcb72a 100644 Binary files a/_images/social_previews/summary_tutorials_textdescriptives_046f899f.png and b/_images/social_previews/summary_tutorials_textdescriptives_046f899f.png differ diff --git a/_modules/dacy/datasets/dane.html b/_modules/dacy/datasets/dane.html index 5face9f9..6a0e5d99 100644 --- a/_modules/dacy/datasets/dane.html +++ b/_modules/dacy/datasets/dane.html @@ -10,7 +10,7 @@ - + diff --git a/_modules/dacy/datasets/names.html b/_modules/dacy/datasets/names.html index f3442a93..05000735 100644 --- a/_modules/dacy/datasets/names.html +++ b/_modules/dacy/datasets/names.html @@ -10,7 +10,7 @@ - + diff --git a/_modules/dacy/download.html b/_modules/dacy/download.html index 487c6082..8be71bcc 100644 --- a/_modules/dacy/download.html +++ b/_modules/dacy/download.html @@ -10,7 +10,7 @@ - + @@ -320,12 +320,12 @@

Source code for dacy.download

         urllib.request.urlretrieve(url, filename=output_path, reporthook=t.update_to)
 
 
-
[docs]def install(package):  # noqa
+
[docs]def install(package: str, url: str) -> None:
     import subprocess
     import sys
 
     subprocess.check_call(
-        [sys.executable, "-m", "pip", "install", package, "--no-deps"],
+        [sys.executable, "-m", "pip", "install", f"{package} @ {url}", "--no-deps"],
     )

 
 
@@ -361,7 +361,9 @@ 
Source code for dacy.download
     mdl = model.split("-")[0]  # type: ignore
     if mdl in get_installed_models() and not force and version(mdl) == mdl_version:
         return mdl
-    install(models_url[model])
+
+    package = model.split("-")[0]
+    install(package, models_url[model])
     return mdl
diff --git a/_modules/dacy/load.html b/_modules/dacy/load.html index a9f460d6..aa75d2d1 100644 --- a/_modules/dacy/load.html +++ b/_modules/dacy/load.html @@ -10,7 +10,7 @@ - + diff --git a/_modules/dacy/score/input_length.html b/_modules/dacy/score/input_length.html index 15c4469c..e87ebc7c 100644 --- a/_modules/dacy/score/input_length.html +++ b/_modules/dacy/score/input_length.html @@ -10,7 +10,7 @@ - + diff --git a/_modules/dacy/score/score.html b/_modules/dacy/score/score.html index 4b46ffe1..8f8cf823 100644 --- a/_modules/dacy/score/score.html +++ b/_modules/dacy/score/score.html @@ -10,7 +10,7 @@ - + diff --git a/_modules/index.html b/_modules/index.html index f0ef56f8..3edd1a60 100644 --- a/_modules/index.html +++ b/_modules/index.html @@ -10,7 +10,7 @@ - + diff --git a/_sphinx_design_static/design-tabs.js b/_sphinx_design_static/design-tabs.js index 36b38cf0..b25bd6a4 100644 --- a/_sphinx_design_static/design-tabs.js +++ b/_sphinx_design_static/design-tabs.js @@ -1,27 +1,101 @@ -var sd_labels_by_text = {}; +// @ts-check +// Extra JS capability for selected tabs to be synced +// The selection is stored in local storage so that it persists across page loads. + +/** + * @type {Record} + */ +let sd_id_to_elements = {}; +const storageKeyPrefix = "sphinx-design-tab-id-"; + +/** + * Create a key for a tab element. + * @param {HTMLElement} el - The tab element. + * @returns {[string, string, string] | null} - The key. + * + */ +function create_key(el) { + let syncId = el.getAttribute("data-sync-id"); + let syncGroup = el.getAttribute("data-sync-group"); + if (!syncId || !syncGroup) return null; + return [syncGroup, syncId, syncGroup + "--" + syncId]; +} + +/** + * Initialize the tab selection. + * + */ function ready() { - const li = document.getElementsByClassName("sd-tab-label"); - for (const label of li) { - syncId = label.getAttribute("data-sync-id"); - if (syncId) { - label.onclick = onLabelClick; - if (!sd_labels_by_text[syncId]) { - sd_labels_by_text[syncId] = []; + // Find all tabs with sync data + + /** @type {string[]} */ + let groups = []; + + document.querySelectorAll(".sd-tab-label").forEach((label) => { + if (label instanceof HTMLElement) { + let data = create_key(label); + if (data) { + let [group, id, key] = data; + + // add click event listener + // @ts-ignore + label.onclick = onSDLabelClick; + + // store map of key to elements + if (!sd_id_to_elements[key]) { + sd_id_to_elements[key] = []; + } + sd_id_to_elements[key].push(label); + + if (groups.indexOf(group) === -1) { + groups.push(group); + // Check if a specific tab has been selected via URL parameter + const tabParam = new URLSearchParams(window.location.search).get( + group + ); + if (tabParam) { + console.log( + "sphinx-design: Selecting tab id for group '" + + group + + "' from URL parameter: " + + tabParam + ); + window.sessionStorage.setItem(storageKeyPrefix + group, tabParam); + } + } + + // Check is a specific tab has been selected previously + let previousId = window.sessionStorage.getItem( + storageKeyPrefix + group + ); + if (previousId === id) { + // console.log( + // "sphinx-design: Selecting tab from session storage: " + id + // ); + // @ts-ignore + label.previousElementSibling.checked = true; + } } - sd_labels_by_text[syncId].push(label); } - } + }); } -function onLabelClick() { - // Activate other inputs with the same sync id. - syncId = this.getAttribute("data-sync-id"); - for (label of sd_labels_by_text[syncId]) { +/** + * Activate other tabs with the same sync id. + * + * @this {HTMLElement} - The element that was clicked. + */ +function onSDLabelClick() { + let data = create_key(this); + if (!data) return; + let [group, id, key] = data; + for (const label of sd_id_to_elements[key]) { if (label === this) continue; + // @ts-ignore label.previousElementSibling.checked = true; } - window.localStorage.setItem("sphinx-design-last-tab", syncId); + window.sessionStorage.setItem(storageKeyPrefix + group, id); } document.addEventListener("DOMContentLoaded", ready, false); diff --git a/_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css b/_sphinx_design_static/sphinx-design.5ea377869091fd0449014c60fc090103.min.css similarity index 87% rename from _static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css rename to _sphinx_design_static/sphinx-design.5ea377869091fd0449014c60fc090103.min.css index eb19f698..a325746f 100644 --- a/_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css +++ b/_sphinx_design_static/sphinx-design.5ea377869091fd0449014c60fc090103.min.css @@ -1 +1 @@ -.sd-bg-primary{background-color:var(--sd-color-primary) !important}.sd-bg-text-primary{color:var(--sd-color-primary-text) !important}button.sd-bg-primary:focus,button.sd-bg-primary:hover{background-color:var(--sd-color-primary-highlight) !important}a.sd-bg-primary:focus,a.sd-bg-primary:hover{background-color:var(--sd-color-primary-highlight) 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0, 0, 0.15);--sd-color-card-border: rgba(0, 0, 0, 0.125);--sd-color-card-border-hover: hsla(231, 99%, 66%, 1);--sd-color-card-background: transparent;--sd-color-card-text: inherit;--sd-color-card-header: transparent;--sd-color-card-footer: transparent;--sd-color-tabs-label-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-hover: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-inactive: hsl(0, 0%, 66%);--sd-color-tabs-underline-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-underline-hover: rgba(178, 206, 245, 0.62);--sd-color-tabs-underline-inactive: transparent;--sd-color-tabs-overline: rgb(222, 222, 222);--sd-color-tabs-underline: rgb(222, 222, 222);--sd-fontsize-tabs-label: 1rem;--sd-fontsize-dropdown: inherit;--sd-fontsize-dropdown-title: 1rem;--sd-fontweight-dropdown-title: 700} diff --git a/_static/design-tabs.js b/_static/design-tabs.js index 36b38cf0..b25bd6a4 100644 --- a/_static/design-tabs.js +++ b/_static/design-tabs.js @@ -1,27 +1,101 @@ -var sd_labels_by_text = {}; +// @ts-check +// Extra JS capability for selected tabs to be synced +// The selection is stored in local storage so that it persists across page loads. + +/** + * @type {Record} + */ +let sd_id_to_elements = {}; +const storageKeyPrefix = "sphinx-design-tab-id-"; + +/** + * Create a key for a tab element. + * @param {HTMLElement} el - The tab element. + * @returns {[string, string, string] | null} - The key. + * + */ +function create_key(el) { + let syncId = el.getAttribute("data-sync-id"); + let syncGroup = el.getAttribute("data-sync-group"); + if (!syncId || !syncGroup) return null; + return [syncGroup, syncId, syncGroup + "--" + syncId]; +} + +/** + * Initialize the tab selection. + * + */ function ready() { - const li = document.getElementsByClassName("sd-tab-label"); - for (const label of li) { - syncId = label.getAttribute("data-sync-id"); - if (syncId) { - label.onclick = onLabelClick; - if (!sd_labels_by_text[syncId]) { - sd_labels_by_text[syncId] = []; + // Find all tabs with sync data + + /** @type {string[]} */ + let groups = []; + + document.querySelectorAll(".sd-tab-label").forEach((label) => { + if (label instanceof HTMLElement) { + let data = create_key(label); + if (data) { + let [group, id, key] = data; + + // add click event listener + // @ts-ignore + label.onclick = onSDLabelClick; + + // store map of key to elements + if (!sd_id_to_elements[key]) { + sd_id_to_elements[key] = []; + } + sd_id_to_elements[key].push(label); + + if (groups.indexOf(group) === -1) { + groups.push(group); + // Check if a specific tab has been selected via URL parameter + const tabParam = new URLSearchParams(window.location.search).get( + group + ); + if (tabParam) { + console.log( + "sphinx-design: Selecting tab id for group '" + + group + + "' from URL parameter: " + + tabParam + ); + window.sessionStorage.setItem(storageKeyPrefix + group, tabParam); + } + } + + // Check is a specific tab has been selected previously + let previousId = window.sessionStorage.getItem( + storageKeyPrefix + group + ); + if (previousId === id) { + // console.log( + // "sphinx-design: Selecting tab from session storage: " + id + // ); + // @ts-ignore + label.previousElementSibling.checked = true; + } } - sd_labels_by_text[syncId].push(label); } - } + }); } -function onLabelClick() { - // Activate other inputs with the same sync id. - syncId = this.getAttribute("data-sync-id"); - for (label of sd_labels_by_text[syncId]) { +/** + * Activate other tabs with the same sync id. + * + * @this {HTMLElement} - The element that was clicked. + */ +function onSDLabelClick() { + let data = create_key(this); + if (!data) return; + let [group, id, key] = data; + for (const label of sd_id_to_elements[key]) { if (label === this) continue; + // @ts-ignore label.previousElementSibling.checked = true; } - window.localStorage.setItem("sphinx-design-last-tab", syncId); + window.sessionStorage.setItem(storageKeyPrefix + group, id); } document.addEventListener("DOMContentLoaded", ready, false); diff --git a/_static/pygments.css b/_static/pygments.css index c2e07c71..02b4b128 100644 --- a/_static/pygments.css +++ b/_static/pygments.css @@ -106,17 +106,17 @@ body[data-theme="dark"] .highlight .cp { color: #ff3a3a; font-weight: bold } /* body[data-theme="dark"] .highlight .cpf { color: #ababab; font-style: italic } /* Comment.PreprocFile */ body[data-theme="dark"] .highlight .c1 { color: #ababab; font-style: italic } /* Comment.Single */ body[data-theme="dark"] .highlight .cs { color: #e50808; font-weight: bold; background-color: #520000 } /* Comment.Special */ -body[data-theme="dark"] .highlight .gd { color: #d22323 } /* Generic.Deleted */ +body[data-theme="dark"] .highlight .gd { color: #ff3a3a } /* Generic.Deleted */ body[data-theme="dark"] .highlight .ge { color: #d0d0d0; font-style: italic } /* Generic.Emph */ body[data-theme="dark"] .highlight .ges { color: #d0d0d0; font-weight: bold; font-style: italic } /* Generic.EmphStrong */ -body[data-theme="dark"] .highlight .gr { color: #d22323 } /* Generic.Error */ +body[data-theme="dark"] .highlight .gr { color: #ff3a3a } /* Generic.Error */ body[data-theme="dark"] .highlight .gh { color: #ffffff; font-weight: bold } /* Generic.Heading */ body[data-theme="dark"] .highlight .gi { color: #589819 } /* Generic.Inserted */ body[data-theme="dark"] .highlight .go { color: #cccccc } /* Generic.Output */ body[data-theme="dark"] .highlight .gp { color: #aaaaaa } /* Generic.Prompt */ body[data-theme="dark"] .highlight .gs { color: #d0d0d0; font-weight: bold } /* Generic.Strong */ body[data-theme="dark"] .highlight .gu { color: #ffffff; text-decoration: underline } /* Generic.Subheading */ -body[data-theme="dark"] .highlight .gt { color: #d22323 } /* Generic.Traceback */ +body[data-theme="dark"] .highlight .gt { color: #ff3a3a } /* Generic.Traceback */ body[data-theme="dark"] .highlight .kc { color: #6ebf26; font-weight: bold } /* Keyword.Constant */ body[data-theme="dark"] .highlight .kd { color: #6ebf26; font-weight: bold } /* Keyword.Declaration */ body[data-theme="dark"] .highlight .kn { color: #6ebf26; font-weight: bold } /* Keyword.Namespace */ @@ -192,17 +192,17 @@ body:not([data-theme="light"]) .highlight .cp { color: #ff3a3a; font-weight: bol body:not([data-theme="light"]) .highlight .cpf { color: #ababab; font-style: italic } /* Comment.PreprocFile */ body:not([data-theme="light"]) .highlight .c1 { color: #ababab; font-style: italic } /* Comment.Single */ body:not([data-theme="light"]) .highlight .cs { color: #e50808; font-weight: bold; background-color: #520000 } /* Comment.Special */ -body:not([data-theme="light"]) .highlight .gd { color: #d22323 } /* Generic.Deleted */ +body:not([data-theme="light"]) .highlight .gd { color: #ff3a3a } /* Generic.Deleted */ body:not([data-theme="light"]) .highlight .ge { color: #d0d0d0; font-style: italic } /* Generic.Emph */ body:not([data-theme="light"]) .highlight .ges { color: #d0d0d0; font-weight: bold; font-style: italic } /* Generic.EmphStrong */ -body:not([data-theme="light"]) .highlight .gr { color: #d22323 } /* Generic.Error */ +body:not([data-theme="light"]) .highlight .gr { color: #ff3a3a } /* Generic.Error */ body:not([data-theme="light"]) .highlight .gh { color: #ffffff; font-weight: bold } /* Generic.Heading */ body:not([data-theme="light"]) .highlight .gi { color: #589819 } /* Generic.Inserted */ body:not([data-theme="light"]) .highlight .go { color: #cccccc } /* Generic.Output */ body:not([data-theme="light"]) .highlight .gp { color: #aaaaaa } /* Generic.Prompt */ body:not([data-theme="light"]) .highlight .gs { color: #d0d0d0; font-weight: bold } /* Generic.Strong */ body:not([data-theme="light"]) .highlight .gu { color: #ffffff; text-decoration: underline } /* Generic.Subheading */ -body:not([data-theme="light"]) .highlight .gt { color: #d22323 } /* Generic.Traceback */ +body:not([data-theme="light"]) .highlight .gt { color: #ff3a3a } /* Generic.Traceback */ body:not([data-theme="light"]) .highlight .kc { color: #6ebf26; font-weight: bold } /* Keyword.Constant */ body:not([data-theme="light"]) .highlight .kd { color: #6ebf26; font-weight: bold } /* Keyword.Declaration */ body:not([data-theme="light"]) .highlight .kn { color: #6ebf26; font-weight: bold } /* Keyword.Namespace */ diff --git a/_sphinx_design_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css b/_static/sphinx-design.5ea377869091fd0449014c60fc090103.min.css similarity index 87% rename from _sphinx_design_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css rename to _static/sphinx-design.5ea377869091fd0449014c60fc090103.min.css index eb19f698..a325746f 100644 --- a/_sphinx_design_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css +++ b/_static/sphinx-design.5ea377869091fd0449014c60fc090103.min.css @@ -1 +1 @@ -.sd-bg-primary{background-color:var(--sd-color-primary) !important}.sd-bg-text-primary{color:var(--sd-color-primary-text) 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0, 0, 0.15);--sd-color-card-border: rgba(0, 0, 0, 0.125);--sd-color-card-border-hover: hsla(231, 99%, 66%, 1);--sd-color-card-background: transparent;--sd-color-card-text: inherit;--sd-color-card-header: transparent;--sd-color-card-footer: transparent;--sd-color-tabs-label-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-hover: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-inactive: hsl(0, 0%, 66%);--sd-color-tabs-underline-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-underline-hover: rgba(178, 206, 245, 0.62);--sd-color-tabs-underline-inactive: transparent;--sd-color-tabs-overline: rgb(222, 222, 222);--sd-color-tabs-underline: rgb(222, 222, 222);--sd-fontsize-tabs-label: 1rem;--sd-fontsize-dropdown: inherit;--sd-fontsize-dropdown-title: 1rem;--sd-fontweight-dropdown-title: 700} diff --git a/adv_tutorials.html b/adv_tutorials.html index 01346c7c..901dc7ab 100644 --- a/adv_tutorials.html +++ b/adv_tutorials.html @@ -22,7 +22,7 @@ - + diff --git a/api/dacy.datasets.html b/api/dacy.datasets.html index 1e3e36e9..a4268cc1 100644 --- a/api/dacy.datasets.html +++ b/api/dacy.datasets.html @@ -22,7 +22,7 @@ - + diff --git a/api/dacy.download.html b/api/dacy.download.html index 62b942a8..75ecca1c 100644 --- a/api/dacy.download.html +++ b/api/dacy.download.html @@ -22,7 +22,7 @@ - + @@ -315,8 +315,19 @@

Downloading and Loading
-dacy.download.install(package)[source]#
-
+dacy.download.install(package, url)[source]# +
+
Parameters
+
    +

  • package (str) –

    • +

  • url (str) –

    • +
+
+
Return type
+

None

+
+
+
diff --git a/api/dacy.score.html b/api/dacy.score.html index b4ddfb82..e2307b65 100644 --- a/api/dacy.score.html +++ b/api/dacy.score.html @@ -22,7 +22,7 @@ - + diff --git a/faq.html b/faq.html index eecd4d2d..e2d73e42 100644 --- a/faq.html +++ b/faq.html @@ -22,7 +22,7 @@ - + diff --git a/genindex.html b/genindex.html index 838740e1..6ab455eb 100644 --- a/genindex.html +++ b/genindex.html @@ -9,7 +9,7 @@ - + diff --git a/index.html b/index.html index 883d7c0e..e357e2b6 100644 --- a/index.html +++ b/index.html @@ -22,7 +22,7 @@ - + @@ -280,7 +280,7 @@

DaCy#

Installation instructions on how to install this package

- +Installation
@@ -289,7 +289,7 @@

DaCy#

Tutorials to get you started uisng this package

-
+Using DaCy
@@ -298,7 +298,7 @@

DaCy#

Frequently asked questions and answers

-
+FAQ
@@ -307,7 +307,7 @@

DaCy#

Found a bug? Please report it as an issue

-
+https://github.com/centre-for-humanities-computing/dacy/issues
@@ -316,7 +316,7 @@

DaCy#

Have an idea for a new feature? Feel free to create an issue

-
+https://github.com/centre-for-humanities-computing/dacy/issues
@@ -325,7 +325,7 @@

DaCy#

Do you have a question about how to use this package? Feel to use the discussion forum

-
+https://github.com/centre-for-humanities-computing/dacy/discussions
@@ -334,7 +334,7 @@

DaCy#

For genral dicussion about this package, please use the discussion forum

-
+https://github.com/centre-for-humanities-computing/dacy/discussions
@@ -343,7 +343,7 @@

DaCy#

If you would like to contribute to this package, please read the contributing guidelines

-
+https://github.com/centre-for-humanities-computing/dacy/blob/main/CONTRIBUTING.md diff --git a/installation.html b/installation.html index 48ec17c3..8d4fabc1 100644 --- a/installation.html +++ b/installation.html @@ -22,7 +22,7 @@ - + diff --git a/news.html b/news.html index 3e7741e0..2d2d5f72 100644 --- a/news.html +++ b/news.html @@ -22,7 +22,7 @@ - + diff --git a/performance.general.html b/performance.general.html index 24f35e69..c35d587d 100644 --- a/performance.general.html +++ b/performance.general.html @@ -22,7 +22,7 @@ - + diff --git a/performance.html b/performance.html index c0fc01a5..8357503a 100644 --- a/performance.html +++ b/performance.html @@ -22,7 +22,7 @@ - + diff --git a/performance.robustness.html b/performance.robustness.html index 336e08ff..b4906ef8 100644 --- a/performance.robustness.html +++ b/performance.robustness.html @@ -22,7 +22,7 @@ - + diff --git a/performance_ner.html b/performance_ner.html index 13eae4e9..52cd9228 100644 --- a/performance_ner.html +++ b/performance_ner.html @@ -22,7 +22,7 @@ - + diff --git a/py-modindex.html b/py-modindex.html index ff51c784..72d32f8b 100644 --- a/py-modindex.html +++ b/py-modindex.html @@ -9,7 +9,7 @@ - + diff --git a/search.html b/search.html index 27288cce..57564a77 100644 --- a/search.html +++ b/search.html @@ -8,7 +8,7 @@ - + diff --git a/searchindex.js b/searchindex.js index 616a3857..8d721030 100644 --- a/searchindex.js +++ b/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["adv_tutorials", "api/dacy.datasets", "api/dacy.download", "api/dacy.score", "faq", "index", "installation", "news", "performance", "performance.general", "performance.robustness", "performance_ner", "tutorials", "tutorials/basic", "tutorials/hate-speech", "tutorials/robustness", "tutorials/sentiment", "tutorials/textdescriptives"], "filenames": ["adv_tutorials.md", "api/dacy.datasets.rst", "api/dacy.download.rst", "api/dacy.score.rst", "faq.md", "index.md", "installation.md", "news.rst", "performance.rst", 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"dictionary-based-sentiment"]], "Learn more": [[16, null]], "Other resources": [[16, null]], "Extracting Metrics from text using TextDescriptives": [[17, "extracting-metrics-from-text-using-textdescriptives"]], "Data": [[17, "data"]], "Adding TextDescriptives components to DaCy": [[17, "adding-textdescriptives-components-to-dacy"]], "Exploratory Data Analysis": [[17, "exploratory-data-analysis"]]}, "indexentries": {"dacy.datasets.dane": [[1, "module-dacy.datasets.dane"]], "dacy.datasets.names": [[1, "module-dacy.datasets.names"]], "dane() (in module dacy.datasets.dane)": [[1, "dacy.datasets.dane.dane"]], "danish_names() (in module dacy.datasets.names)": [[1, "dacy.datasets.names.danish_names"]], "female_names() (in module dacy.datasets.names)": [[1, "dacy.datasets.names.female_names"]], "load_names() (in module dacy.datasets.names)": [[1, "dacy.datasets.names.load_names"]], "male_names() (in module dacy.datasets.names)": [[1, "dacy.datasets.names.male_names"]], "module": [[1, "module-dacy.datasets.dane"], [1, "module-dacy.datasets.names"], [2, "module-dacy.download"], [2, "module-dacy.load"], [3, "module-dacy.score.input_length"], [3, "module-dacy.score.score"]], "muslim_names() (in module dacy.datasets.names)": [[1, "dacy.datasets.names.muslim_names"]], "dacy.download": [[2, "module-dacy.download"]], "dacy.load": [[2, "module-dacy.load"]], "download_model() (in module dacy.download)": [[2, "dacy.download.download_model"]], "get_latest_version() (in module dacy.download)": [[2, "dacy.download.get_latest_version"]], "install() (in module dacy.download)": [[2, "dacy.download.install"]], "load() (in module dacy.load)": [[2, "dacy.load.load"]], "models() (in module dacy.download)": [[2, "dacy.download.models"]], "models() (in module dacy.load)": [[2, "dacy.load.models"]], "where_is_my_dacy() (in module dacy.load)": [[2, "dacy.load.where_is_my_dacy"]], "dacy.score.input_length": [[3, "module-dacy.score.input_length"]], "dacy.score.score": [[3, "module-dacy.score.score"]], "n_sents_score() (in module dacy.score.input_length)": [[3, "dacy.score.input_length.n_sents_score"]], "no_misc_getter() (in module dacy.score.score)": [[3, "dacy.score.score.no_misc_getter"]], "score() (in module dacy.score.score)": [[3, "dacy.score.score.score"]]}}) \ No newline at end of file diff --git a/tutorials.html b/tutorials.html index 1b2b99d1..df1c5b37 100644 --- a/tutorials.html +++ b/tutorials.html @@ -22,7 +22,7 @@ - + diff --git a/tutorials/basic.html b/tutorials/basic.html index 38a308f0..6d5f6f1d 100644 --- a/tutorials/basic.html +++ b/tutorials/basic.html @@ -22,7 +22,7 @@ - + @@ -294,6 +294,12 @@

Getting started
/home/runner/.local/lib/python3.10/site-packages/transformers/utils/generic.py:441: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead.
+  _torch_pytree._register_pytree_node(
+/home/runner/.local/lib/python3.10/site-packages/transformers/utils/generic.py:309: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead.
+  _torch_pytree._register_pytree_node(
+
+
@@ -318,58 +324,45 @@

Getting started 
Defaulting to user installation because normal site-packages is not writeable
-Collecting da-dacy-small-trf==any
+Collecting da_dacy_small_trf@ https://huggingface.co/chcaa/da_dacy_small_trf/resolve/0eadea074d5f637e76357c46bbd56451471d0154/da_dacy_small_trf-any-py3-none-any.whl
 
  Downloading https://huggingface.co/chcaa/da_dacy_small_trf/resolve/0eadea074d5f637e76357c46bbd56451471d0154/da_dacy_small_trf-any-py3-none-any.whl (101.3 MB)
 ?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/101.3 MB ? eta -:--:--
-     ━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.2/101.3 MB 126.8 MB/s eta 0:00:01
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-     ━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21.4/101.3 MB 168.0 MB/s eta 0:00:01
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-
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+
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-
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-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 78.6/101.3 MB 165.6 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 84.5/101.3 MB 170.8 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 90.3/101.3 MB 171.4 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 96.1/101.3 MB 170.4 MB/s eta 0:00:01
+
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 89.7/101.3 MB 225.8 MB/s eta 0:00:01
 

 

-
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-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 101.3/101.3 MB 176.6 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 101.3/101.3 MB 176.6 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 101.3/101.3 MB 176.6 MB/s eta 0:00:01
+
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 101.2/101.3 MB 225.7 MB/s eta 0:00:01
+     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 101.3/101.3 MB 153.1 MB/s eta 0:00:00
+?25hInstalling collected packages: da_dacy_small_trf
 

 

-
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-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 101.3/101.3 MB 36.7 MB/s eta 0:00:00
-?25hInstalling collected packages: da-dacy-small-trf
+
Successfully installed da_dacy_small_trf-0.2.0
 

 

-
Successfully installed da-dacy-small-trf-0.2.0
+
/home/runner/.local/lib/python3.10/site-packages/spacy/util.py:910: UserWarning: [W095] Model 'da_dacy_small_trf' (0.2.0) was trained with spaCy v3.5.2 and may not be 100% compatible with the current version (3.7.5). If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate
+  warnings.warn(warn_msg)
 

 

-
/home/runner/.local/lib/python3.10/site-packages/spacy/util.py:910: UserWarning: [W095] Model 'da_dacy_small_trf' (0.2.0) was trained with spaCy v3.5.2 and may not be 100% compatible with the current version (3.7.2). If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate
-  warnings.warn(warn_msg)
+
/home/runner/.local/lib/python3.10/site-packages/transformers/utils/generic.py:309: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead.
+  _torch_pytree._register_pytree_node(
 

 

-
/home/runner/.local/lib/python3.10/site-packages/spacy_transformers/layers/hf_shim.py:137: UserWarning: Error loading saved torch state_dict with strict=True, likely due to differences between 'transformers' versions. Attempting to load with strict=False as a fallback...
+
/home/runner/.local/lib/python3.10/site-packages/spacy_transformers/layers/hf_shim.py:124: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  self._model.load_state_dict(torch.load(filelike, map_location=device))
+/home/runner/.local/lib/python3.10/site-packages/spacy_transformers/layers/hf_shim.py:137: UserWarning: Error loading saved torch state_dict with strict=True, likely due to differences between 'transformers' versions. Attempting to load with strict=False as a fallback...
 
 If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current 'transformers' and 'spacy-transformers' versions. For more details and available updates, run: python -m spacy validate
   warnings.warn(warn_msg)
+/home/runner/.local/lib/python3.10/site-packages/spacy_transformers/layers/hf_shim.py:139: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  b = torch.load(filelike, map_location=device)
+/home/runner/.local/lib/python3.10/site-packages/thinc/shims/pytorch.py:253: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  model.load_state_dict(torch.load(filelike, map_location=device))
 

 

 

@@ -388,6 +381,16 @@ 
Getting started
+
/home/runner/.local/lib/python3.10/site-packages/thinc/shims/pytorch.py:114: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(self._mixed_precision):
+

+

+
/home/runner/.local/lib/python3.10/site-packages/thinc/shims/pytorch.py:114: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(self._mixed_precision):
+

+

+

 

 
 

@@ -456,82 +459,49 @@ 
Named Entity Recognition
 
Defaulting to user installation because normal site-packages is not writeable
-Collecting da-dacy-small-trf==any
+Collecting da_dacy_small_trf@ https://huggingface.co/chcaa/da_dacy_small_trf/resolve/0eadea074d5f637e76357c46bbd56451471d0154/da_dacy_small_trf-any-py3-none-any.whl
 

 

 
  Downloading https://huggingface.co/chcaa/da_dacy_small_trf/resolve/0eadea074d5f637e76357c46bbd56451471d0154/da_dacy_small_trf-any-py3-none-any.whl (101.3 MB)
 ?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/101.3 MB ? eta -:--:--
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-

-

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-     ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 51.7/101.3 MB 208.9 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 59.0/101.3 MB 210.8 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 66.2/101.3 MB 211.4 MB/s eta 0:00:01
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-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 79.3/101.3 MB 185.5 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 85.3/101.3 MB 175.3 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 91.4/101.3 MB 174.6 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 97.1/101.3 MB 170.6 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 101.3/101.3 MB 165.7 MB/s eta 0:00:01
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-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 101.3/101.3 MB 165.7 MB/s eta 0:00:01
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-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 101.3/101.3 MB 165.7 MB/s eta 0:00:01
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+
     ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 45.9/101.3 MB 237.9 MB/s eta 0:00:01
 

 

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+
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+
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+     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 101.3/101.3 MB 160.4 MB/s eta 0:00:00
 ?25h
 

 

-
/home/runner/.local/lib/python3.10/site-packages/spacy/util.py:910: UserWarning: [W095] Model 'da_dacy_small_trf' (0.2.0) was trained with spaCy v3.5.2 and may not be 100% compatible with the current version (3.7.2). If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate
+
/home/runner/.local/lib/python3.10/site-packages/spacy/util.py:910: UserWarning: [W095] Model 'da_dacy_small_trf' (0.2.0) was trained with spaCy v3.5.2 and may not be 100% compatible with the current version (3.7.5). If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate
   warnings.warn(warn_msg)
 

 

-
/home/runner/.local/lib/python3.10/site-packages/spacy_transformers/layers/hf_shim.py:137: UserWarning: Error loading saved torch state_dict with strict=True, likely due to differences between 'transformers' versions. Attempting to load with strict=False as a fallback...
+
/home/runner/.local/lib/python3.10/site-packages/spacy_transformers/layers/hf_shim.py:124: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  self._model.load_state_dict(torch.load(filelike, map_location=device))
+/home/runner/.local/lib/python3.10/site-packages/spacy_transformers/layers/hf_shim.py:137: UserWarning: Error loading saved torch state_dict with strict=True, likely due to differences between 'transformers' versions. Attempting to load with strict=False as a fallback...
 
 If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current 'transformers' and 'spacy-transformers' versions. For more details and available updates, run: python -m spacy validate
   warnings.warn(warn_msg)
+/home/runner/.local/lib/python3.10/site-packages/spacy_transformers/layers/hf_shim.py:139: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  b = torch.load(filelike, map_location=device)
+/home/runner/.local/lib/python3.10/site-packages/thinc/shims/pytorch.py:253: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  model.load_state_dict(torch.load(filelike, map_location=device))
+

+

+
/home/runner/.local/lib/python3.10/site-packages/huggingface_hub/file_download.py:797: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
+  warnings.warn(
+

+

+
/home/runner/.local/lib/python3.10/site-packages/transformers/utils/generic.py:309: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead.
+  _torch_pytree._register_pytree_node(
 

 

-
<spacy_wrap.pipeline_component_tok_clf.TokenClassificationTransformer at 0x7f7b018767a0>
+
<spacy_wrap.pipeline_component_tok_clf.TokenClassificationTransformer at 0x7f1f5c5d4460>
 

 

 

@@ -596,41 +566,21 @@ 
Named Entity Linking
 

 
Defaulting to user installation because normal site-packages is not writeable
-Collecting da-dacy-small-trf==any
+Collecting da_dacy_small_trf@ https://huggingface.co/chcaa/da_dacy_small_trf/resolve/0eadea074d5f637e76357c46bbd56451471d0154/da_dacy_small_trf-any-py3-none-any.whl
 

 

 
  Downloading https://huggingface.co/chcaa/da_dacy_small_trf/resolve/0eadea074d5f637e76357c46bbd56451471d0154/da_dacy_small_trf-any-py3-none-any.whl (101.3 MB)
 ?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/101.3 MB ? eta -:--:--
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-

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-     ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 38.7/101.3 MB 169.3 MB/s eta 0:00:01
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-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 88.2/101.3 MB 185.1 MB/s eta 0:00:01
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 ?25h
 

 

@@ -679,7 +629,7 @@ 
Named Entity Linking

 

 
capital and largest city of Denmark
-Danmarks hovedstad
+Danmarks hovedstad og største by
  
 

 

@@ -788,125 +738,75 @@ 
Fine-grained NER
 
Defaulting to user installation because normal site-packages is not writeable
-Collecting da-dacy-small-trf==any
+Collecting da_dacy_small_trf@ https://huggingface.co/chcaa/da_dacy_small_trf/resolve/0eadea074d5f637e76357c46bbd56451471d0154/da_dacy_small_trf-any-py3-none-any.whl
 

 

 
  Downloading https://huggingface.co/chcaa/da_dacy_small_trf/resolve/0eadea074d5f637e76357c46bbd56451471d0154/da_dacy_small_trf-any-py3-none-any.whl (101.3 MB)
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 ?25h
 

 

 
Defaulting to user installation because normal site-packages is not writeable
-Collecting da-dacy-small-ner-fine-grained==any
+Collecting da_dacy_small_ner_fine_grained@ https://huggingface.co/chcaa/da_dacy_small_ner_fine_grained/resolve/43fedc5a1b1c1d193f461d13225f217f2ced507d/da_dacy_small_ner_fine_grained-any-py3-none-any.whl
 

 

 
  Downloading https://huggingface.co/chcaa/da_dacy_small_ner_fine_grained/resolve/43fedc5a1b1c1d193f461d13225f217f2ced507d/da_dacy_small_ner_fine_grained-any-py3-none-any.whl (82.7 MB)
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-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 78.5/82.7 MB 212.6 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 78.5/82.7 MB 212.6 MB/s eta 0:00:01
+
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 82.6/82.7 MB 235.1 MB/s eta 0:00:01
 

 

-
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 78.5/82.7 MB 212.6 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 78.5/82.7 MB 212.6 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 78.5/82.7 MB 212.6 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 78.5/82.7 MB 212.6 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 78.5/82.7 MB 212.6 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 81.4/82.7 MB 32.1 MB/s eta 0:00:01
+
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 82.6/82.7 MB 235.1 MB/s eta 0:00:01
 

 

-
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 81.4/82.7 MB 32.1 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 81.4/82.7 MB 32.1 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 81.8/82.7 MB 23.7 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 81.9/82.7 MB 21.8 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 82.7/82.7 MB 21.7 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 82.7/82.7 MB 21.7 MB/s eta 0:00:01
+
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 82.6/82.7 MB 235.1 MB/s eta 0:00:01
 

 

-
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 82.7/82.7 MB 21.7 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 82.7/82.7 MB 21.7 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 82.7/82.7 MB 21.7 MB/s eta 0:00:01
-     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 82.7/82.7 MB 15.8 MB/s eta 0:00:00
-?25hInstalling collected packages: da-dacy-small-ner-fine-grained
+
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 82.6/82.7 MB 235.1 MB/s eta 0:00:01
+     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 82.7/82.7 MB 35.6 MB/s eta 0:00:00
+?25hInstalling collected packages: da_dacy_small_ner_fine_grained
 

 

-
Successfully installed da-dacy-small-ner-fine-grained-0.1.0
+
Successfully installed da_dacy_small_ner_fine_grained-0.1.0
 

 

-
/home/runner/.local/lib/python3.10/site-packages/spacy/util.py:910: UserWarning: [W095] Model 'da_dacy_small_ner_fine_grained' (0.1.0) was trained with spaCy v3.5.0 and may not be 100% compatible with the current version (3.7.2). If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate
+
/home/runner/.local/lib/python3.10/site-packages/spacy/util.py:910: UserWarning: [W095] Model 'da_dacy_small_ner_fine_grained' (0.1.0) was trained with spaCy v3.5.0 and may not be 100% compatible with the current version (3.7.5). If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate
   warnings.warn(warn_msg)
 

 

-
<spacy.pipeline.ner.EntityRecognizer at 0x7f7b007b6b90>
+
<spacy.pipeline.ner.EntityRecognizer at 0x7f1f56e9ec00>
 

 

 

@@ -1008,7 +908,7 @@ 
Dependency Parsing
-

+

 
     DaCy
     PROPN
@@ -1050,57 +950,57 @@ 
Dependency Parsing
-    
+    
     
-        nsubj
+        nsubj
     
     
 
 
 
-    
+    
     
-        cop
+        cop
     
     
 
 
 
-    
+    
     
-        det
+        det
     
     
 
 
 
-    
+    
     
-        amod
+        amod
     
     
 
 
 
-    
+    
     
-        case
+        case
     
     
 
 
 
-    
+    
     
-        amod
+        amod
     
     
 
 
 
-    
+    
     
-        nmod
+        nmod
     
     
 
@@ -1271,7 +1171,7 @@ 
Coreference Resolution
     
     
-    
+    
     
     
     
diff --git a/tutorials/hate-speech.html b/tutorials/hate-speech.html
index 31caa8a2..3b9c320c 100644
--- a/tutorials/hate-speech.html
+++ b/tutorials/hate-speech.html
@@ -22,7 +22,7 @@
     
     
     
-    
+    
     
     
     
@@ -336,7 +336,23 @@ 
Usage#
 Hide code cell output
 
 

-
<spacy_wrap.pipeline_component_seq_clf.SequenceClassificationTransformer at 0x7f79ee691b40>
+
/home/runner/.local/lib/python3.10/site-packages/transformers/utils/generic.py:441: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead.
+  _torch_pytree._register_pytree_node(
+/home/runner/.local/lib/python3.10/site-packages/transformers/utils/generic.py:309: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead.
+  _torch_pytree._register_pytree_node(
+

+

+
/home/runner/.local/lib/python3.10/site-packages/huggingface_hub/file_download.py:797: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
+  warnings.warn(
+

+

+
/home/runner/.local/lib/python3.10/site-packages/transformers/utils/generic.py:309: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead.
+  _torch_pytree._register_pytree_node(
+/home/runner/.local/lib/python3.10/site-packages/huggingface_hub/file_download.py:797: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
+  warnings.warn(
+

+

+
<spacy_wrap.pipeline_component_seq_clf.SequenceClassificationTransformer at 0x7f61f6963280>
 

 

 

@@ -364,11 +380,19 @@ 
Usage#
 

 

 

+
/home/runner/.local/lib/python3.10/site-packages/thinc/shims/pytorch.py:114: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(self._mixed_precision):
+

+

 
offensive
 	 sprogbrug
 not offensive
 

 

+
/home/runner/.local/lib/python3.10/site-packages/thinc/shims/pytorch.py:114: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(self._mixed_precision):
+

+

 

 

 

@@ -459,7 +483,7 @@ 
Usage#
     
     
     
-    
+    
     
     
     
diff --git a/tutorials/robustness.html b/tutorials/robustness.html
index 1b47f823..4f1d650b 100644
--- a/tutorials/robustness.html
+++ b/tutorials/robustness.html
@@ -22,7 +22,7 @@
     
     
     
-    
+    
     
     
     
diff --git a/tutorials/sentiment.html b/tutorials/sentiment.html
index e2ae6cba..35fdae6a 100644
--- a/tutorials/sentiment.html
+++ b/tutorials/sentiment.html
@@ -22,7 +22,7 @@
     
     
     
-    
+    
     
     
     
@@ -345,7 +345,23 @@ 
SubjectivityHide code cell output
 
 

-
<spacy_wrap.pipeline_component_seq_clf.SequenceClassificationTransformer at 0x7ff939e8df60>
+
/home/runner/.local/lib/python3.10/site-packages/transformers/utils/generic.py:441: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead.
+  _torch_pytree._register_pytree_node(
+/home/runner/.local/lib/python3.10/site-packages/transformers/utils/generic.py:309: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead.
+  _torch_pytree._register_pytree_node(
+

+

+
/home/runner/.local/lib/python3.10/site-packages/huggingface_hub/file_download.py:797: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
+  warnings.warn(
+

+

+
/home/runner/.local/lib/python3.10/site-packages/transformers/utils/generic.py:309: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead.
+  _torch_pytree._register_pytree_node(
+/home/runner/.local/lib/python3.10/site-packages/huggingface_hub/file_download.py:797: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
+  warnings.warn(
+

+

+
<spacy_wrap.pipeline_component_seq_clf.SequenceClassificationTransformer at 0x7f3e7618fbe0>
 

 

 

@@ -371,6 +387,10 @@ 
Subjectivity
+
/home/runner/.local/lib/python3.10/site-packages/thinc/shims/pytorch.py:114: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(self._mixed_precision):
+

+

 
objective
 {'prob': array([1., 0.], dtype=float32), 'labels': ['objective', 'subjective']}
 subjective
@@ -400,7 +420,11 @@ 
PolarityHide code cell output
 
 

-
<spacy_wrap.pipeline_component_seq_clf.SequenceClassificationTransformer at 0x7ff939e8dae0>
+
/home/runner/.local/lib/python3.10/site-packages/huggingface_hub/file_download.py:797: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
+  warnings.warn(
+

+

+
<spacy_wrap.pipeline_component_seq_clf.SequenceClassificationTransformer at 0x7f3e7618d420>
 

 

 

@@ -429,6 +453,10 @@ 
Polarity
/home/runner/.local/lib/python3.10/site-packages/thinc/shims/pytorch.py:114: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(self._mixed_precision):
+

+

 

 

 
@@ -467,7 +495,11 @@ 
EmotionHide code cell output
 
 

-
<spacy_wrap.pipeline_component_seq_clf.SequenceClassificationTransformer at 0x7ff938188460>
+
/home/runner/.local/lib/python3.10/site-packages/transformers/modeling_utils.py:519: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  return torch.load(checkpoint_file, map_location=map_location)
+

+

+
<spacy_wrap.pipeline_component_seq_clf.SequenceClassificationTransformer at 0x7f3e746b6f20>
 

 

 

@@ -629,7 +661,7 @@ 
Dictionary-Based Sentiment
-

+

 
     jeg
     0.0
@@ -661,17 +693,17 @@ 
Dictionary-Based Sentiment
-    
+    
     
-        intensified by
+        intensified by
     
     
 
 
 
-    
+    
     
-        negated by
+        negated by
     
     
 
@@ -776,7 +808,7 @@ 
Dictionary-Based Sentiment
     
     
-    
+    
     
     
     
diff --git a/tutorials/textdescriptives.html b/tutorials/textdescriptives.html
index 84abb4a8..be7a0470 100644
--- a/tutorials/textdescriptives.html
+++ b/tutorials/textdescriptives.html
@@ -22,7 +22,7 @@
     
     
     
-    
+    
     
     
     
@@ -380,19 +380,35 @@ 
Adding TextDescriptives components to DaCyHide code cell output
 
 

-
/home/runner/.local/lib/python3.10/site-packages/spacy/util.py:910: UserWarning: [W095] Model 'da_dacy_small_trf' (0.2.0) was trained with spaCy v3.5.2 and may not be 100% compatible with the current version (3.7.2). If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate
+
/home/runner/.local/lib/python3.10/site-packages/transformers/utils/generic.py:441: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead.
+  _torch_pytree._register_pytree_node(
+/home/runner/.local/lib/python3.10/site-packages/transformers/utils/generic.py:309: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead.
+  _torch_pytree._register_pytree_node(
+

+

+
/home/runner/.local/lib/python3.10/site-packages/spacy/util.py:910: UserWarning: [W095] Model 'da_dacy_small_trf' (0.2.0) was trained with spaCy v3.5.2 and may not be 100% compatible with the current version (3.7.5). If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate
   warnings.warn(warn_msg)
-/home/runner/.local/lib/python3.10/site-packages/spacy/util.py:910: UserWarning: [W095] Model 'da_dacy_small_ner_fine_grained' (0.1.0) was trained with spaCy v3.5.0 and may not be 100% compatible with the current version (3.7.2). If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate
+/home/runner/.local/lib/python3.10/site-packages/spacy/util.py:910: UserWarning: [W095] Model 'da_dacy_small_ner_fine_grained' (0.1.0) was trained with spaCy v3.5.0 and may not be 100% compatible with the current version (3.7.5). If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate
   warnings.warn(warn_msg)
 

 

-
/home/runner/.local/lib/python3.10/site-packages/spacy_transformers/layers/hf_shim.py:137: UserWarning: Error loading saved torch state_dict with strict=True, likely due to differences between 'transformers' versions. Attempting to load with strict=False as a fallback...
+
/home/runner/.local/lib/python3.10/site-packages/transformers/utils/generic.py:309: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead.
+  _torch_pytree._register_pytree_node(
+

+

+
/home/runner/.local/lib/python3.10/site-packages/spacy_transformers/layers/hf_shim.py:124: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  self._model.load_state_dict(torch.load(filelike, map_location=device))
+/home/runner/.local/lib/python3.10/site-packages/spacy_transformers/layers/hf_shim.py:137: UserWarning: Error loading saved torch state_dict with strict=True, likely due to differences between 'transformers' versions. Attempting to load with strict=False as a fallback...
 
 If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current 'transformers' and 'spacy-transformers' versions. For more details and available updates, run: python -m spacy validate
   warnings.warn(warn_msg)
+/home/runner/.local/lib/python3.10/site-packages/spacy_transformers/layers/hf_shim.py:139: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  b = torch.load(filelike, map_location=device)
+/home/runner/.local/lib/python3.10/site-packages/thinc/shims/pytorch.py:253: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  model.load_state_dict(torch.load(filelike, map_location=device))
 

 

-
<textdescriptives.components.dependency_distance.DependencyDistance at 0x7fe24d56cbe0>
+
<textdescriptives.components.dependency_distance.DependencyDistance at 0x7fd94ec3fc40>
 

 

 

@@ -425,7 +441,15 @@ 
Adding TextDescriptives components to DaCyHide code cell output
 
 

-
Token indices sequence length is longer than the specified maximum sequence length for this model (159 > 128). Running this sequence through the model will result in indexing errors
+
Token indices sequence length is longer than the specified maximum sequence length for this model (161 > 128). Running this sequence through the model will result in indexing errors
+

+

+
/home/runner/.local/lib/python3.10/site-packages/thinc/shims/pytorch.py:114: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(self._mixed_precision):
+

+

+
/home/runner/.local/lib/python3.10/site-packages/thinc/shims/pytorch.py:114: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(self._mixed_precision):
 

 

 

@@ -483,9 +507,9 @@ 
Adding TextDescriptives components to DaCy
-
/home/runner/.local/lib/python3.10/site-packages/seaborn/categorical.py:640: FutureWarning: SeriesGroupBy.grouper is deprecated and will be removed in a future version of pandas.
-  positions = grouped.grouper.result_index.to_numpy(dtype=float)
-

-

 
<Axes: xlabel='label', ylabel='lix'>
 

 

-../_images/dbd6eff77ac28793a8cbadbf078e0bbad2aca7dc8864ed3912b87cef0e8fea12.png
+../_images/e69542200cf74ae7c346dd5ba000012455e710442902e48c4ba1ee73ade08d7b.png
 

 

 
Let’s run a quick test to see if any of our metrics correlate strongly with the label

@@ -645,16 +665,16 @@ 
Exploratory Data Analysis
-
sentence_length_std           -0.303042
-coleman_liau_index             0.212275
-n_unique_tokens               -0.174772
-token_length_mean              0.172780
-syllables_per_token_median     0.169951
-flesch_reading_ease           -0.166157
-syllables_per_token_mean       0.165625
-n_tokens                      -0.163977
-dependency_distance_std       -0.163154
-automated_readability_index    0.153635
+
syllables_per_token_median               0.173627
+dependency_distance_mean                 0.130452
+dependency_distance_std                 -0.118958
+lix                                      0.118539
+n_characters                             0.100814
+prop_adjacent_dependency_relation_std   -0.098674
+token_length_median                      0.094410
+sentence_length_std                     -0.088671
+gunning_fog                              0.087089
+smog                                     0.086096
 dtype: float64
 

 

@@ -669,18 +689,10 @@ 
Exploratory Data Analysis
-
/home/runner/.local/lib/python3.10/site-packages/seaborn/_base.py:949: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.
-  data_subset = grouped_data.get_group(pd_key)
-/home/runner/.local/lib/python3.10/site-packages/seaborn/_base.py:949: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.
-  data_subset = grouped_data.get_group(pd_key)
-/home/runner/.local/lib/python3.10/site-packages/seaborn/_base.py:949: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.
-  data_subset = grouped_data.get_group(pd_key)
-

-

 
<Axes: xlabel='dependency_distance_mean', ylabel='Density'>
 

 

-../_images/51f23a1f5014ae0972b7430a4c140f161eecc64cd828c6e6257d148e8e8f4c8c.png
+../_images/ec0b2f720af347cdae0780e8188bd50cd1e2d14fa73869fe8f1c2c77667d8906.png
 

 

 
We can do a similar thing for the lix score, where we see that here isn’t a big difference between the two classes:

@@ -691,18 +703,10 @@ 
Exploratory Data Analysis
-
/home/runner/.local/lib/python3.10/site-packages/seaborn/_base.py:949: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.
-  data_subset = grouped_data.get_group(pd_key)
-/home/runner/.local/lib/python3.10/site-packages/seaborn/_base.py:949: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.
-  data_subset = grouped_data.get_group(pd_key)
-/home/runner/.local/lib/python3.10/site-packages/seaborn/_base.py:949: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.
-  data_subset = grouped_data.get_group(pd_key)
-

-

 
<Axes: xlabel='lix', ylabel='Density'>
 

 

-../_images/78de1a22bf6c37db0d61a35ba47d7006a8d19d8339156c272349623866088bc7.png
+../_images/6de44b863d2dd514bd086640d08355a4189a17cc58cb59f121ea289421279beb.png
 

 

 
Cool! We’ve now done a quick analysis of the SMS dataset and found some differences in the distributions of some readability and dependency-distance metrics between the actual SMS’s and spam.