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export_text — scikit-learn 1.7.2 documentation
(cm) <= 1.75 | | |--- class: 1 | |--- petal width (cm) > 1.75 |...be used (“feature_0”, “feature_1”, …). class_names array-like of...scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html -
estimator_checks_generator — scikit-learn 1.7.2...
Added in version 1.6. Parameters : estimator estimator...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.estimator_checks_generat... -
shrunk_covariance — scikit-learn 1.7.2 document...
1 ) [source] # Calculate covariance...ndarray. shrinkage float, default=0.1 Coefficient in the convex combination...scikit-learn.org/stable/modules/generated/sklearn.covariance.shrunk_covariance.html -
Visualizations with Display Objects — scikit-le...
0001 C 1.0 fit_intercept True intercept_scaling 1 class_weight...pos_label = clf . classes_ [ 1 ]) roc_display = RocCurveDisplay...scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html -
inplace_swap_column — scikit-learn 1.7.2 docume...
1 ) >>> csr . todense () matrix([[0,...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_column.html -
Nearest Neighbors regression — scikit-learn 1.7...
1 , i + 1 ) plt . scatter ( X_train...sort ( 5 * rng . rand ( 40 , 1 ), axis = 0 ) X_test = np . linspace...scikit-learn.org/stable/auto_examples/neighbors/plot_regression.html -
Label Propagation digits: Active learning — sci...
support 0 1.00 1.00 1.00 22 1 0.85 1.00 0.92 22 2 1.00 1.00 1.00 28...support 0 1.00 1.00 1.00 22 1 0.85 1.00 0.92 22 2 1.00 1.00 1.00 27...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits_active_learni... -
Nearest Neighbors Classification — scikit-learn...
feature_names [ 1 ], shading = "auto" , alpha =.... iloc [:, 0 ], X . iloc [:, 1 ], c = y , edgecolors = "k" )...scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html -
Linear and Quadratic Discriminant Analysis with...
0) and (1, 1) . Each blob is assigned a specific...cov_class_2 + np . array ([ 1 , 1 ]), ] ) y = np . concatenate...scikit-learn.org/stable/auto_examples/classification/plot_lda_qda.html -
Vector Quantization Example — scikit-learn 1.7....
bin_edges [: - 1 ] + ( bin_edges [ 1 :] - bin_edges [: - 1 ]) / 2 bin_center...bin_edges [: - 1 ] + ( bin_edges [ 1 :] - bin_edges [: - 1 ]) / 2 bin_center...scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html