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make_biclusters — scikit-learn 1.6.0 documentation
shape[1]) The indicators for cluster membership...for biclustering. References [ 1 ] Dhillon, I. S. (2001, August)....scikit-learn.org/stable/modules/generated/sklearn.datasets.make_biclusters.html -
Simple 1D Kernel Density Estimation — scikit-le...
1 , int ( 0.3 * N )), np . random . normal ( 5 , 1 , int...score_samples ( X_plot ) ax [ 1 , 1 ] . fill ( X_plot [:, 0 ], np...scikit-learn.org/stable/auto_examples/neighbors/plot_kde_1d.html -
compute_optics_graph — scikit-learn 1.6.0 docum...
1.41..., 1. , 1. , 4.12...]) >>> reachability array([ inf,...3.16..., 1.41..., 4.12..., 1. , 5. ]) >>> predecessor array([-1, 0,...scikit-learn.org/stable/modules/generated/sklearn.cluster.compute_optics_graph.html -
3. Model selection and evaluation — scikit-lear...
1.1. Computing cross-validated metrics 3.1.2. Cross...validation iterators 3.1.3. A note on shuffling 3.1.4. Cross validation...scikit-learn.org/stable/model_selection.html -
cluster_optics_xi — scikit-learn 1.6.0 document...
1, 1, 1]) >>> clusters array([[0, 2],...min_samples int > 1 or float between 0 and 1 The same as the min_samples...scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_xi.html -
d2_tweedie_score — scikit-learn 1.6.0 documenta...
1 , 2.5 , 7 ] >>> y_pred = [ 1 , 1 , 5 , 3.5 ] >>>...explained. Best possible score is 1.0 and it can be negative (because...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_tweedie_score.html -
GenericUnivariateSelect — scikit-learn 1.6.0 do...
Added in version 1.0. See also f_classif ANOVA F-value..."x1", ..., "x(n_features_in_ - 1)"] . If input_features is an array-like,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.GenericUnivariateSelect.html -
load_files — scikit-learn 1.6.0 documentation
container_folder/ category_1_folder/ file_1.txt file_2.txt ... file_42.txt...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_files.html -
Plot the decision surface of decision trees tra...
1 ], [ 0 , 2 ], [ 0 , 3 ], [ 1 , 2 ], [ 1 , 3 ], [ 2.... subplot ( 2 , 3 , pairidx + 1 ) plt . tight_layout ( h_pad =...scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.html -
explained_variance_score — scikit-learn 1.7.dev...
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...cross-validation). Added in version 1.1. Returns : score float or ndarray...scikit-learn.org/dev/modules/generated/sklearn.metrics.explained_variance_score.html