Mercurial > repos > bgruening > sklearn_generalized_linear

comparison sk_whitelist.json @ 23:e3bc646e63b2 draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d
author bgruening
date Sun, 30 Dec 2018 02:01:29 -0500
parents 212e7adfe65f
children
comparison
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22:e0f8931f6149 23:e3bc646e63b2
46 "sklearn.cluster.mean_shift", "sklearn.cluster.mean_shift_.MeanShift", 46 "sklearn.cluster.mean_shift", "sklearn.cluster.mean_shift_.MeanShift",
47 "sklearn.cluster.mean_shift_._mean_shift_single_seed", "sklearn.cluster.mean_shift_.estimate_bandwidth", 47 "sklearn.cluster.mean_shift_._mean_shift_single_seed", "sklearn.cluster.mean_shift_.estimate_bandwidth",
48 "sklearn.cluster.mean_shift_.get_bin_seeds", "sklearn.cluster.mean_shift_.mean_shift", 48 "sklearn.cluster.mean_shift_.get_bin_seeds", "sklearn.cluster.mean_shift_.mean_shift",
49 "sklearn.cluster.spectral.SpectralClustering", "sklearn.cluster.spectral.discretize", 49 "sklearn.cluster.spectral.SpectralClustering", "sklearn.cluster.spectral.discretize",
50 "sklearn.cluster.spectral.spectral_clustering", "sklearn.cluster.spectral_clustering", 50 "sklearn.cluster.spectral.spectral_clustering", "sklearn.cluster.spectral_clustering",
51 "sklearn.cluster.ward_tree", "sklearn.config_context", 51 "sklearn.cluster.ward_tree", "sklearn.config_context", "sklearn.compose.TransformedTargetRegressor",
52 "sklearn.compose._target.TransformedTargetRegressor", "sklearn.compose.ColumnTransformer",
53 "sklearn.compose._column_transformer.ColumnTransformer", "sklearn.compose.make_column_transformer",
54 "sklearn.compose._column_transformer.make_column_transformer",
52 "sklearn.covariance.EllipticEnvelope", "sklearn.covariance.EmpiricalCovariance", 55 "sklearn.covariance.EllipticEnvelope", "sklearn.covariance.EmpiricalCovariance",
53 "sklearn.covariance.GraphLasso", "sklearn.covariance.GraphLassoCV", 56 "sklearn.covariance.GraphLasso", "sklearn.covariance.GraphLassoCV",
54 "sklearn.covariance.LedoitWolf", "sklearn.covariance.MinCovDet", 57 "sklearn.covariance.LedoitWolf", "sklearn.covariance.MinCovDet",
55 "sklearn.covariance.OAS", "sklearn.covariance.ShrunkCovariance", 58 "sklearn.covariance.OAS", "sklearn.covariance.ShrunkCovariance",
56 "sklearn.covariance.empirical_covariance", "sklearn.covariance.empirical_covariance_.EmpiricalCovariance", 59 "sklearn.covariance.empirical_covariance", "sklearn.covariance.empirical_covariance_.EmpiricalCovariance",
747 750
748 "NUMPY_NAMES": [ 751 "NUMPY_NAMES": [
749 "numpy.core.multiarray._reconstruct", "numpy.ndarray", 752 "numpy.core.multiarray._reconstruct", "numpy.ndarray",
750 "numpy.dtype", "numpy.core.multiarray.scalar", 753 "numpy.dtype", "numpy.core.multiarray.scalar",
751 "numpy.random.__RandomState_ctor" 754 "numpy.random.__RandomState_ctor"
755 ],
756
757 "IMBLEARN_NAMES":[
758 "imblearn.pipeline.Pipeline", "imblearn.over_sampling._random_over_sampler.RandomOverSampler",
759 "imblearn.under_sampling._prototype_selection._edited_nearest_neighbours.EditedNearestNeighbours"
752 ] 760 ]
753 } 761 }