mirror of https://github.com/pyodide/pyodide.git
commit
e9136eea3c
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@ -0,0 +1,59 @@
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package:
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name: scikit-learn
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version: 0.20.1
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source:
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url: https://github.com/scikit-learn/scikit-learn/archive/0.20.1.tar.gz
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sha256: 618feea121c59a52ea459d6af7bc179344ca345775b04bd60e96740e9df75960
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patches:
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- patches/use-site-joblib.patch
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build:
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cflags: -Wno-implicit-function-declaration
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requirements:
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run:
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- numpy
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- scipy
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- joblib
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test:
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imports:
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- sklearn
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- sklearn.calibration
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- sklearn.cluster
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- sklearn.compose
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- sklearn.covariance
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- sklearn.cross_decomposition
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- sklearn.datasets
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- sklearn.decomposition
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- sklearn.discriminant_analysis
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- sklearn.dummy
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- sklearn.ensemble
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- sklearn.exceptions
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- sklearn.externals
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- sklearn.feature_extraction
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- sklearn.feature_selection
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- sklearn.gaussian_process
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- sklearn.impute
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- sklearn.isotonic
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- sklearn.kernel_approximation
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- sklearn.kernel_ridge
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- sklearn.linear_model
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- sklearn.manifold
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- sklearn.metrics
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- sklearn.mixture
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- sklearn.model_selection
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- sklearn.multiclass
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- sklearn.multioutput
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- sklearn.naive_bayes
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- sklearn.neighbors
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- sklearn.neural_network
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- sklearn.pipeline
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- sklearn.preprocessing
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- sklearn.random_projection
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- sklearn.semi_supervised
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- sklearn.svm
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- sklearn.tree
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- sklearn.utils
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@ -0,0 +1,19 @@
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commit 55cfffe8243d7d85dc6f8d14f045cee8a4e8b0ae
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Author: Roman Yurchak <rth.yurchak@pm.me>
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Date: Mon Dec 3 22:09:46 2018 +0100
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Use site joblib
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diff --git a/sklearn/utils/_joblib.py b/sklearn/utils/_joblib.py
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index c3df15e91..b9f218ef1 100644
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--- a/sklearn/utils/_joblib.py
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+++ b/sklearn/utils/_joblib.py
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@@ -5,7 +5,7 @@ import os as _os
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import warnings as _warnings
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# An environment variable to use the site joblib
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-if _os.environ.get('SKLEARN_SITE_JOBLIB', False):
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+if True:
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with _warnings.catch_warnings():
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_warnings.simplefilter("ignore")
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# joblib imports may raise DeprecationWarning on certain Python
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@ -0,0 +1,23 @@
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import pytest
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def test_scikit_learn(selenium_standalone, request):
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selenium = selenium_standalone
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if selenium.browser == 'chrome':
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request.applymarker(pytest.mark.xfail(
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run=False, reason='chrome not supported'))
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selenium.load_package("scikit-learn")
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assert selenium.run("""
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import numpy as np
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import sklearn
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from sklearn.linear_model import LogisticRegression
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rng = np.random.RandomState(42)
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X = rng.rand(100, 20)
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y = rng.randint(5, size=100)
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estimator = LogisticRegression(solver='liblinear')
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estimator.fit(X, y)
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print(estimator.predict(X))
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estimator.score(X, y)
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""") > 0
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@ -23,7 +23,7 @@ def registered_packages_meta():
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for name in packages}
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UNSUPPORTED_PACKAGES = {'chrome': ['pandas', 'scipy'],
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UNSUPPORTED_PACKAGES = {'chrome': ['pandas', 'scipy', 'scikit-learn'],
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'firefox': []}
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|
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