mirror of https://github.com/pyodide/pyodide.git
62 lines
1.5 KiB
YAML
62 lines
1.5 KiB
YAML
package:
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name: scikit-learn
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version: 1.0.2
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source:
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url: https://files.pythonhosted.org/packages/75/44/074b780d8ac0b0899937e9b8ba6d5d8873a71b99aa915219251ef85a8890/scikit-learn-1.0.2.tar.gz
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sha256: b5870959a5484b614f26d31ca4c17524b1b0317522199dc985c3b4256e030767
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patches:
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- patches/disable-openmp.patch
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- patches/0001-Cythonize-_cython_blas.pyx-with-include-path-pointin.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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- threadpoolctl
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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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