comparison sk_whitelist.json @ 7:372582a7a34d draft

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d

6:90f2d6532262

    "sklearn.cluster.mean_shift", "sklearn.cluster.mean_shift_.MeanShift",
    "sklearn.cluster.mean_shift_._mean_shift_single_seed", "sklearn.cluster.mean_shift_.estimate_bandwidth",
    "sklearn.cluster.mean_shift_.get_bin_seeds", "sklearn.cluster.mean_shift_.mean_shift",
    "sklearn.cluster.spectral.SpectralClustering", "sklearn.cluster.spectral.discretize",
    "sklearn.cluster.spectral.spectral_clustering", "sklearn.cluster.spectral_clustering",
    "sklearn.cluster.ward_tree", "sklearn.config_context",
    "sklearn.covariance.EllipticEnvelope", "sklearn.covariance.EmpiricalCovariance",
    "sklearn.covariance.GraphLasso", "sklearn.covariance.GraphLassoCV",
    "sklearn.covariance.LedoitWolf", "sklearn.covariance.MinCovDet",
    "sklearn.covariance.OAS", "sklearn.covariance.ShrunkCovariance",
    "sklearn.covariance.empirical_covariance", "sklearn.covariance.empirical_covariance_.EmpiricalCovariance",

  "NUMPY_NAMES": [
    "numpy.core.multiarray._reconstruct", "numpy.ndarray",
    "numpy.dtype", "numpy.core.multiarray.scalar",
    "numpy.random.__RandomState_ctor"
  ]
}

7:372582a7a34d

    "sklearn.cluster.mean_shift", "sklearn.cluster.mean_shift_.MeanShift",
    "sklearn.cluster.mean_shift_._mean_shift_single_seed", "sklearn.cluster.mean_shift_.estimate_bandwidth",
    "sklearn.cluster.mean_shift_.get_bin_seeds", "sklearn.cluster.mean_shift_.mean_shift",
    "sklearn.cluster.spectral.SpectralClustering", "sklearn.cluster.spectral.discretize",
    "sklearn.cluster.spectral.spectral_clustering", "sklearn.cluster.spectral_clustering",
    "sklearn.cluster.ward_tree", "sklearn.config_context", "sklearn.compose.TransformedTargetRegressor",
    "sklearn.compose._target.TransformedTargetRegressor", "sklearn.compose.ColumnTransformer",
    "sklearn.compose._column_transformer.ColumnTransformer", "sklearn.compose.make_column_transformer",
    "sklearn.compose._column_transformer.make_column_transformer",
    "sklearn.covariance.EllipticEnvelope", "sklearn.covariance.EmpiricalCovariance",
    "sklearn.covariance.GraphLasso", "sklearn.covariance.GraphLassoCV",
    "sklearn.covariance.LedoitWolf", "sklearn.covariance.MinCovDet",
    "sklearn.covariance.OAS", "sklearn.covariance.ShrunkCovariance",
    "sklearn.covariance.empirical_covariance", "sklearn.covariance.empirical_covariance_.EmpiricalCovariance",

  "NUMPY_NAMES": [
    "numpy.core.multiarray._reconstruct", "numpy.ndarray",
    "numpy.dtype", "numpy.core.multiarray.scalar",
    "numpy.random.__RandomState_ctor"
  ],

  "IMBLEARN_NAMES":[
    "imblearn.pipeline.Pipeline", "imblearn.over_sampling._random_over_sampler.RandomOverSampler",
    "imblearn.under_sampling._prototype_selection._edited_nearest_neighbours.EditedNearestNeighbours"
  ]
}