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Parallel — scikit-learn 1.7.1 documentation
Added in version 1.3. __call__ ( iterable ) [source]...scikit-learn.org/stable/modules/generated/sklearn.utils.parallel.Parallel.html -
Feature agglomeration vs. univariate selection ...
0 ][ 1 ] . inverse_transform ( coef_ . reshape ( 1 , - 1 )) coef_selection_...roi_size ] = - 1.0 coef [ - roi_size :, - roi_size :] = 1.0 X = np...scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.... -
Restricted Boltzmann Machine features for digit...
1 )) # 0-1 scaling X_train , X_test...False tol 1 C 100.0 fit_intercept True intercept_scaling 1 class_weight...scikit-learn.org/stable/auto_examples/neural_networks/plot_rbm_logistic_classification.html -
classification_report — scikit-learn 1.7.1 docu...
50 1.00 0.67 1 class 1 0.00 0.00 0.00 1 class 2 1.00 0.67...>>> y_pred = [ 1 , 1 , 0 ] >>> y_true = [ 1 , 1 , 1 ] >>> print...scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html -
SGD: Penalties — scikit-learn 1.7.1 documentation
[( - 1 , - 1 )], ) plt . clabel ( l2_contour , inline = 1 , fontsize...18 , fmt = { 1.0 : "L2" }, manual = [( - 1 , - 1 )]) plt . clabel...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_penalties.html -
matthews_corrcoef — scikit-learn 1.7.1 document...
[ + 1 , + 1 , + 1 , - 1 ] >>> y_pred = [ + 1 , - 1 , + 1 , +...value between -1 and +1. A coefficient of +1 represents a perfect...scikit-learn.org/stable/modules/generated/sklearn.metrics.matthews_corrcoef.html -
Comparison of kernel ridge and Gaussian process...
num = 1_000 ) . reshape ( - 1 , 1 ) target = np . sin...ExpSineSquared(length_scale=1, periodicity=1) Our kernel has two parameters:...scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html -
IsolationForest example — scikit-learn 1.7.1 do...
1 ], [ 0.7 , 0.4 ]]) cluster_1 = 0.4 * rng . randn...assigned a ground truth label 1 whereas the outliers (created...scikit-learn.org/stable/auto_examples/ensemble/plot_isolation_forest.html -
rand_score — scikit-learn 1.7.1 documentation
1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings that...rand_score ([ 0 , 0 , 1 , 2 ], [ 0 , 0 , 1 , 1 ]) 0.83 Gallery examples...scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
roc_curve — scikit-learn 1.7.1 documentation
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...labels are not either {-1, 1} or {0, 1}, then pos_label should...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html