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1.8. Cross decomposition — scikit-learn 1.4.2 d...
1.8. Cross decomposition 1.8.1. PLSCanonical 1.8.2. PLSSVD...PLSSVD 1.8.3. PLSRegression 1.8.4. Canonical Correlation Analysis...scikit-learn.org/stable/modules/cross_decomposition.html -
Roadmap — scikit-learn 1.4.2 documentation
Menu Prev Up Next scikit-learn 1.4.2 Other versions Please cite...cross-version safety from version 1.0. Note: Gael and Olivier think...scikit-learn.org/stable/roadmap.html -
sklearn.linear_model.ElasticNet — scikit-learn ...
l1_ratio * || w || _1 + 0.5 * alpha * ( 1 - l1_ratio ) * || w...l1_ratio = 1 it is an L1 penalty. For 0 < l1_ratio < 1 , the penalty...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html -
sklearn.cross_decomposition.PLSRegression — sci...
1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...intercept_ . New in version 1.1. n_iter_ list of shape (n_components,)...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSRegression.html -
1.15. Isotonic regression — scikit-learn 1.4.2 ...
1.15. Isotonic regression 1.15. Isotonic regression...Menu Prev Up Next scikit-learn 1.4.2 Other versions Please cite...scikit-learn.org/stable/modules/isotonic.html -
sklearn.metrics.brier_score_loss — scikit-learn...
y_true in {-1, 1} or {0, 1}, pos_label defaults to 1; else if y_true...0 or all -1, in which case pos_label defaults to 1. Read more...scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html -
sklearn.metrics.average_precision_score — sciki...
1 , 1 ]) >>> y_scores = np . array ([ 0.1 , 0.4 , 0.35..., 0.1 ], ... [ 0.4 , 0.3 , 0.3 ], ... [ 0.1 , 0.8 , 0.1 ], ......scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html -
sklearn.naive_bayes.GaussianNB — scikit-learn 1...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> Y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html -
sklearn.linear_model.RANSACRegressor — scikit-l...
min_samples int (>= 1) or float ([0, 1]), default=None Minimum...min_samples is chosen as X.shape[1] + 1 . This parameter is highly...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RANSACRegressor.html -
Release History — scikit-learn 1.4.2 documentation
Version 1.1.3 Version 1.1.2 Version 1.1.1 Version 1.1.0 Version...1.2 Version 1.2.2 Version 1.2.1 Version 1.2.0 Version 1.1 Version...scikit-learn.org/stable/whats_new.html