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cluster_optics_dbscan — scikit-learn 1.5.0 docu...
1, 1, 1]) Gallery examples # Demo of...compute_optics_graph >>> X = np . array ([[ 1 , 2 ], [ 2 , 5 ], [ 3 , 6 ], ......scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_dbscan.html -
make_column_selector — scikit-learn 1.5.0 docum...
1. , 0. , 0. ], [-1.50755672, 1. , 0. , 0. ], [-0.30151134,...[-0.30151134, 0. , 1. , 0. ], [ 0.90453403, 0. , 0. , 1. ]]) __call__...scikit-learn.org/stable/modules/generated/sklearn.compose.make_column_selector.html -
fetch_covtype — scikit-learn 1.5.0 documentation
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load the covertype...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_covtype.html -
Version 1.1 — scikit-learn 1.6.dev0 documentation
Version 1.1.0 # May 2022 Minimal dependencies # Version 1.1.0 of...#23273 by Thomas Fan . Version 1.1.1 # May 2022 Changelog # Enhancement...scikit-learn.org/dev/whats_new/v1.1.html -
3.4. Metrics and scoring: quantifying the quali...
1 , 1 , 1 , 1 , 1 ] >>> y_pred = [ 0 , 1 , 0 , 1 , 0 ,..., 0 , 1 , 1 , 1 , 1 , 1 ] >>> y_pred = [ 0 , 1 , 0 , 1 , 0 ,...scikit-learn.org/dev/modules/model_evaluation.html -
RepeatedKFold — scikit-learn 1.5.0 documentation
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> rkf = RepeatedKFold (...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
RBFSampler — scikit-learn 1.5.0 documentation
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...in version 1.2: The option "scale" was added in 1.2. n_components...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.RBFSampler.html -
SVR — scikit-learn 1.5.0 documentation
Added in version 1.1. n_support_ ndarray of shape (1,), dtype=int32..., tol = 0.001 , C = 1.0 , epsilon = 0.1 , shrinking = True ,...scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html -
MaxAbsScaler — scikit-learn 1.5.0 documentation
-1. , 1. ], [ 1. , 0. , 0. ], [ 0. , 1. , -0.5]]) fit...= [[ 1. , - 1. , 2. ], ... [ 2. , 0. , 0. ], ... [ 0. , 1. , -...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MaxAbsScaler.html -
GaussianNB — 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.naive_bayes.GaussianNB.html