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paired_manhattan_distances — scikit-learn 1.7.1...
array ([[ 1 , 1 , 0 ], [ 0 , 1 , 0 ], [ 0 , 0 , 1 ]]) >>> Y =...calculated between (X[0], Y[0]), (X[1], Y[1]), …, (X[n_samples], Y[n_samples])....scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_manhattan_distances.html -
Comparison of kernel ridge regression and SVR —...
1 ), param_grid = { "alpha" : [ 1e0 , 0.1 , 1e-2 , 1e-3...with params: {'C': 1.0, 'gamma': np.float64(0.1)} and R2 score:...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html -
delayed — scikit-learn 1.7.1 documentation
Changed in version 1.3: delayed was moved from sklearn.utils.fixes...sklearn.utils.parallel in scikit-learn 1.3. Parameters : function callable...scikit-learn.org/stable/modules/generated/sklearn.utils.parallel.delayed.html -
Selecting dimensionality reduction with Pipelin...
n_jobs=1, param_grid=[{'classify__C': [1, 10, 100, 1000],...= [ 2 , 4 , 8 ] C_OPTIONS = [ 1 , 10 , 100 , 1000 ] param_grid...scikit-learn.org/stable/auto_examples/compose/plot_compare_reduction.html -
Comparing Target Encoder with Other Encoders — ...
scikit-learn 1.4 Release Highlights for scikit-learn 1.4 Gallery...points price province region_1 region_2 variety winery 0 US This...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html -
d2_pinball_score — scikit-learn 1.7.1 documenta...
Added in version 1.1. Parameters : y_true array-like...d2_pinball_score >>> y_true = [ 1 , 2 , 3 ] >>> y_pred = [ 1 , 3 , 3 ] >>> d2_pinball_score...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_pinball_score.html -
10. Model persistence — scikit-learn 1.7.1 docu...
1.1. Train and Persist the Model...serialized by pickle or joblib . 10.1. Workflow Overview # In a typical...scikit-learn.org/stable/model_persistence.html -
paired_euclidean_distances — scikit-learn 1.7.1...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...paired_euclidean_distances ( X , Y ) array([1., 1.]) On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_euclidean_distances.html -
roc_auc_score — scikit-learn 1.7.1 documentation
classes_[1] and thus estimator.predict_proba(X, y)[:, 1] . The...it is upper bounded by 1. References [ 1 ] Wikipedia entry for...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html -
mean_pinball_loss — scikit-learn 1.7.1 document...
1 ) 0.03... >>> mean_pinball_loss ( y_true , [ 1 , 2 ,...scikit-learn 1.0 Release Highlights for scikit-learn 1.0 On this...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.html