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Searched refs:pooling_func (Results 1 – 4 of 4) sorted by relevance

/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/cluster/
H A D_feature_agglomeration.py42 if self.pooling_func == np.mean and not issparse(X):
51 self.pooling_func(X[:, self.labels_ == l], axis=1)
H A D_agglomerative.py1205 pooling_func=np.mean, argument
1219 self.pooling_func = pooling_func
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/cluster/tests/
H A Dtest_feature_agglomeration.py15 agglo_mean = FeatureAgglomeration(n_clusters=n_clusters, pooling_func=np.mean)
16 agglo_median = FeatureAgglomeration(n_clusters=n_clusters, pooling_func=np.median)
/dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/whats_new/
H A Dv0.20.rst629 - |API| Deprecate ``pooling_func`` unused parameter in