Mercurial > repos > bgruening > sklearn_pairwise_metrics

diff sk_whitelist.json @ 23:8338f71ed0c4 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 01:53:45 -0500
parents ae8456eaf50c
children
line wrap: on
line diff
--- a/sk_whitelist.json	Thu Oct 11 03:32:00 2018 -0400
+++ b/sk_whitelist.json	Sun Dec 30 01:53:45 2018 -0500
@@ -48,7 +48,10 @@
     "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.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",
@@ -749,5 +752,10 @@
     "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"
   ]
 }
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