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1.10. Decision Trees — scikit-learn 1.5.2 docum...
[ 2 , 2 ]] >>> y = [ 0.5 , 2.5 ] >>> clf = tree...samples: >>> clf . predict ([[ 2. , 2. ]]) array([1]) In case that...scikit-learn.org/stable/modules/tree.html -
LabelSpreading — scikit-learn 1.5.2 documentation
2 , max_iter = 30 , tol = 0.001...integer. alpha float, default=0.2 Clamping factor. A value in (0,...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelSpreading.html -
RBFSampler — scikit-learn 1.5.2 documentation
2: The option "scale" was added in 1.2. n_components...of RBF kernel: exp(-gamma * x^2). If gamma='scale' is passed then...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.RBFSampler.html -
Release History — scikit-learn 1.5.2 documentation
2 Version 1.3.1 Version 1.3.0 Version 1.2 Version 1.2.2 Version...Version 1.2.1 Version 1.2.0 Version 1.1 Version 1.1.3 Version...scikit-learn.org/stable/whats_new.html -
RANSACRegressor — scikit-learn 1.5.2 documentation
org/wiki/RANSAC [ 2 ] https://www.sri.com/wp-cont...n_samples = 200 , n_features = 2 , noise = 4.0 , random_state =...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RANSACRegressor.html -
log_loss — scikit-learn 1.5.2 documentation
2 ], [ .35 , .65 ]]) 0.21616......scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html -
load_breast_cancer — scikit-learn 1.5.2 documen...
Classes 2 Samples per class 212(M),357(B)...target_names ndarray of shape (2,) The names of target classes....scikit-learn.org/stable/modules/generated/sklearn.datasets.load_breast_cancer.html -
GaussianProcessClassifier — scikit-learn 1.5.2 ...
2, and 5.1 from [RW2006] . Internally,...>>> gpc . predict_proba ( X [: 2 ,:]) array([[0.83548752, 0.03228706,...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html -
BernoulliNB — scikit-learn 1.5.2 documentation
2. Changed in version 1.4: The default...)) >>> Y = np . array ([ 1 , 2 , 3 , 4 , 4 , 5 ]) >>> from sklearn.naive_bayes...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html -
adjusted_mutual_info_score — scikit-learn 1.5.2...
JMLR [ 2 ] Wikipedia entry for the Adjusted...([ 0 , 0 , 0 , 0 ], [ 0 , 1 , 2 , 3 ]) ... 0.0 Gallery examples...scikit-learn.org/stable/modules/generated/sklearn.metrics.adjusted_mutual_info_score.html