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BaseEstimator — scikit-learn 1.8.0 docume...
array ([ 1 , 0 , 1 ]) >>> estimator...__init__ ( self , * , param = 1 ): ... self . param = param ......scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html -
top_k_accuracy_score — scikit-learn 1.8.0...
The best performance is 1 with normalize == True and the...>>> y_true = np . array ([ 0 , 1 , 2 , 2 ]) >>> y_score...scikit-learn.org/stable/modules/generated/sklearn.metrics.top_k_accuracy_score.html -
Nystroem — scikit-learn 1.8.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...all strings. Added in version 1.0. See also AdditiveChi2Sampler...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.Nystroem.html -
ValidationCurveDisplay — scikit-learn 1.8...
means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn 1.3 Release Highlights for scikit-learn 1.3 On this...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html -
SVM: Separating hyperplane for unbalanced class...
0 ]] clusters_std = [ 1.5 , 0.5 ] X , y = make_blobs (...kernel = "linear" , C = 1.0 ) clf . fit ( X , y ) # fit...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane_unbalanced.html -
f_classif — scikit-learn 1.8.0 documentation
n_clusters_per_class = 1 , ... shuffle = False , random_state...f_statistic array([2.21e+02, 7.02e-01, 1.70e+00, 9.31e-01, 5.41e+00, 3.25e-01,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_classif.html -
mean_squared_log_error — scikit-learn 1.8...
1 ], [ 1 , 2 ], [ 7 , 6 ]] >>>...>>> y_pred = [[ 0.5 , 2 ], [ 1 , 2.5 ], [ 8 , 8 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_log_error.html -
Version 0.21 — scikit-learn 1.8.0 documen...
threaded for n_jobs > 1 or n_jobs = -1 . #12955 by Prabakaran...linear_model.ARDRegression and Scipy>=1.3.0. Adapts to upstream changes...scikit-learn.org/stable/whats_new/v0.21.html -
SelectFpr — 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.SelectFpr.html -
FactorAnalysis — scikit-learn 1.8.0 docum...
Added in version 1.0. See also PCA Principal component...Machine Learning, Algorithm 21.1. Christopher M. Bishop: Pattern...scikit-learn.org/stable/modules/generated/sklearn.decomposition.FactorAnalysis.html