This repository has been archived by the owner on Mar 18, 2024. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 21
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
EDIT: All the packages are available now for windows, and appveyor is only failing because of this bug: appveyor/ci#2822 |
jsignell
force-pushed
the
jsignell/appveyor
branch
from
February 1, 2019 17:03
aad2bc8
to
67caa61
Compare
jsignell
force-pushed
the
jsignell/appveyor
branch
from
February 1, 2019 18:04
6524f29
to
27a2751
Compare
I am seeing a real error from dask_ml on windows: ---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<timed eval> in <module>
C:\Miniconda36-x64\envs\earthml\lib\site-packages\dask_ml\cluster\spectral.py in fit(self, X, y)
192 km = KMeans(
193 n_clusters=n_clusters,
--> 194 random_state=draw_seed(rng, 2 ** 32 - 1, dtype="uint"),
195 )
196 elif self.assign_labels == "sklearn-kmeans":
C:\Miniconda36-x64\envs\earthml\lib\site-packages\dask_ml\_utils.py in draw_seed(random_state, low, high, size, dtype, chunks)
15 kwargs["chunks"] = chunks
16
---> 17 seed = random_state.randint(low, high, **kwargs)
18 if dtype is not None and isinstance(seed, (da.Array, np.ndarray)):
19 seed = seed.astype(dtype)
mtrand.pyx in mtrand.RandomState.randint()
ValueError: high is out of bounds for int32
ValueError: high is out of bounds for int32 |
Commented there dask/dask-ml#230 |
cocoaaa
pushed a commit
to cocoaaa/EarthML
that referenced
this pull request
Jun 6, 2019
* Adding appveyor config * try updating conda * Made appveyor only start one job * Allowing the use of defaults as well as c-f * Update .appveyor.yml * Update .appveyor.yml * Using new doit commands * Using new doit test_all command * Don't allow defaults - see what happens * Just allow scipy from defaults
Sign up for free
to subscribe to this conversation on GitHub.
Already have an account?
Sign in.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
I set up appveyor so that we can get windows builds and see what is missing: