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d2_log_loss_score — scikit-learn 1.8.0 do...
Best possible score is 1.0 and it can be negative (because...User Guide . Added in version 1.5. Parameters : y_true array-like...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_log_loss_score.html -
Gaussian Mixture Model Selection — scikit...
1 ], [ 1.7 , 0.4 ]]) component_1 =...n_samples , 2 ) + np . array ([ - 4 , 1 ]) # spherical X = np . concatenate...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_selection.html -
Comparison of LDA and PCA 2D projection of Iris...
1 , 2 ], target_names ): plt . scatter...y == i , 0 ], X_r [ y == i , 1 ], color = color , alpha = 0.8...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html -
MetadataRouter — scikit-learn 1.8.0 docum...
Added in version 1.3. Parameters : owner object The...sub-estimators). Added in version 1.4. Parameters : method str The...scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRouter.html -
Plot randomly generated multilabel dataset R...
1 ], color = COLORS . take (( Y * [ 1 , 2 , 4 ]) ....n_labels = 1 ) ax1 . set_title ( "n_labels=1, length=50"...scikit-learn.org/stable/auto_examples/datasets/plot_random_multilabel_dataset.html -
SelectFdr — scikit-learn 1.8.0 documentation
Added in version 1.0. See also f_classif ANOVA F-value......, "x(n_features_in_ - 1)"] . If input_features is...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFdr.html -
SelectFwe — scikit-learn 1.8.0 documentation
Added in version 1.0. See also f_classif ANOVA F-value......, "x(n_features_in_ - 1)"] . If input_features is...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFwe.html -
A demo of the mean-shift clustering algorithm &...
centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1 , - 1 ]] X , _ = make_blobs...matplotlib.pyplot as plt plt . figure ( 1 ) plt . clf () colors = [ "#dede00"...scikit-learn.org/stable/auto_examples/cluster/plot_mean_shift.html -
Curve Fitting with Bayesian Ridge Regression &#...
values (alpha_init = 1.90, lambda_init = 1.), the bias of the resulting...scale = 0.1 , size = size ) x_test = np . linspace ( 0.0 , 1.0 , 100...scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html -
Pipeline ANOVA SVM — scikit-learn 1.8.0 d...
versionchanged:: 1.3 The `"auto"` option is added in version 1.3 and will...intercept term: `[x_1, ..., x_n, 1]`, where 1 corresponds to the intercept....scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection_pipeline.html