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get_config — scikit-learn 1.7.2 documentation
get_config () >>> config . keys () dict_keys([...]) On this page...get_config ( ) [source] # Retrieve the current scikit-learn configuration....scikit-learn.org/stable/modules/generated/sklearn.get_config.html -
is_regressor — scikit-learn 1.7.2 documentation
SVC , SVR >>> classifier = SVC () >>> regressor = SVR () >>>...Ctrl + K GitHub Choose version is_regressor # sklearn.base. is_regressor...scikit-learn.org/stable/modules/generated/sklearn.base.is_regressor.html -
radius_neighbors_graph — scikit-learn 1.7.2 doc...
True ) >>> A . toarray () array([[1., 0., 1.], [0., 1., 0.], [1.,...radius_neighbors_graph ( X , 1.5 , mode = 'connectivity' , ... include_self...scikit-learn.org/stable/modules/generated/sklearn.neighbors.radius_neighbors_graph.html -
make_union — scikit-learn 1.7.2 documentation
TruncatedSVD ()) FeatureUnion(transformer_list=[('pca', PCA()), ('truncatedsvd',...('truncatedsvd', TruncatedSVD())]) On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.pipeline.make_union.html -
sklearn.neighbors — scikit-learn 1.7.2 document...
Ctrl + K GitHub Choose version sklearn.neighbors # The k-nearest...Factor (LOF). NearestCentroid Nearest centroid classifier. NearestNeighbors...scikit-learn.org/stable/api/sklearn.neighbors.html -
sklearn.naive_bayes — scikit-learn 1.7.2 docume...
et al. (2003). GaussianNB Gaussian Naive Bayes (GaussianNB). MultinomialNB...top Ctrl + K GitHub Choose version sklearn.naive_bayes # Naive Bayes...scikit-learn.org/stable/api/sklearn.naive_bayes.html -
sklearn.mixture — scikit-learn 1.7.2 documentation
top Ctrl + K GitHub Choose version sklearn.mixture # Mixture modeling...modeling algorithms. User guide. See the Gaussian mixture models...scikit-learn.org/stable/api/sklearn.mixture.html -
ClassNamePrefixFeaturesOutMixin — scikit-learn ...
np . array ([[ 1 , 2 ], [ 3 , 4 ]]) >>> MyEstimator () . fit...fit ( X ) . get_feature_names_out () array(['myestimator0', 'myestimator1'],...scikit-learn.org/stable/modules/generated/sklearn.base.ClassNamePrefixFeaturesOutMixin.html -
clone — scikit-learn 1.7.2 documentation
0 ], [ 0 , 1 ], [ 0 , - 1 ], [ 1 , 0 ]] >>> y = [ 0 , 0 , 1 ,..., 1 ] >>> classifier = LogisticRegression () . fit ( X , y )...scikit-learn.org/stable/modules/generated/sklearn.base.clone.html -
paired_distances — scikit-learn 1.7.2 documenta...
X = [[ 0 , 1 ], [ 1 , 1 ]] >>> Y = [[ 0 , 1 ], [ 2 , 1 ]] >>>...and Y. Compute the distances between (X[0], Y[0]), (X[1], Y[1]),...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_distances.html