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1.12. Multiclass and multioutput algorithms — s...
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,...0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,...scikit-learn.org/stable/modules/multiclass.html -
CountVectorizer — scikit-learn 1.5.0 documentation
[[0 1 1 1 0 0 1 0 1] [0 2 0 1 0 1 1 0 1] [1 0 0 1 1 0 1 1 1] [0...[[0 0 1 1 0 0 1 0 0 0 0 1 0] [0 1 0 1 0 1 0 1 0 0 1 0 0] [1 0 0...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html -
NearestNeighbors — scikit-learn 1.5.0 documenta...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) radius_neighbors...() array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) set_params...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestNeighbors.html -
LabelBinarizer — scikit-learn 1.5.0 documentation
array([[1, 0, 0], [0, 1, 0], [0, 0, 1], [0, 1, 0]]) fit ( y ) [source]...array([1, 2, 4, 6]) >>> lb . transform ([ 1 , 6 ]) array([[1, 0,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html -
KNeighborsClassifier — scikit-learn 1.5.0 docum...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) predict...bors=1) >>> print ( neigh . kneighbors ([[ 1. , 1. , 1. ]]))...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html -
KNeighborsRegressor — scikit-learn 1.5.0 docume...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) predict...bors=1) >>> print ( neigh . kneighbors ([[ 1. , 1. , 1. ]]))...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html -
OPTICS — scikit-learn 1.5.0 documentation
1, 1, 1]) For a more detailed example...min_samples int > 1 or float between 0 and 1, default=5 The number...scikit-learn.org/stable/modules/generated/sklearn.cluster.OPTICS.html -
SGDClassifier — scikit-learn 1.5.0 documentation
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...(clip(decision_function(X), -1, 1) + 1) / 2. For other loss functions...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html -
KBinsDiscretizer — scikit-learn 1.5.0 documenta...
[ 1., 1., 1., 0.], [ 2., 2., 2., 1.], [ 2., 2., 2.,...>>> X = [[ - 2 , 1 , - 4 , - 1 ], ... [ - 1 , 2 , - 3 , - 0.5...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html -
NearestCentroid — scikit-learn 1.5.0 documentation
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html