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NearestCentroid — scikit-learn 1.8.0 docu...
[ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
check_increasing — scikit-learn 1.8.0 doc...
2 , 3 , 4 , 5 ], [ 2 , 4 , 6 , 8 , 10 ] >>>...>>> y = [ 10 , 8 , 6 , 4 , 2 ] >>> check_increasing...scikit-learn.org/stable/modules/generated/sklearn.isotonic.check_increasing.html -
Lars — scikit-learn 1.8.0 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...n_nonzero_coefs = 500 , eps = np.float64(2.220446049250313e-16) , copy_X...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lars.html -
brier_score_loss — scikit-learn 1.8.0 doc...
2 , 0.7 , 0.1 ], [ 0.2 , 0.2 , 0.6 ]], ... labels...by 1/2 to lie in the [0, 1] range instead of the [0, 2] range....scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html -
Plot the decision surface of decision trees tra...
2 ], [ 0 , 3 ], [ 1 , 2 ], [ 1 , 3 ], [ 2 , 3 ]]): #...boundary ax = plt . subplot ( 2 , 3 , pairidx + 1 ) plt . tight_layout...scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.html -
TweedieRegressor — scikit-learn 1.8.0 doc...
determination R^2. R^2 uses squared error and D^2 uses the deviance...() >>> X = [[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ], [ 4 , 3...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html -
BaggingRegressor — scikit-learn 1.8.0 doc...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...the method is known as Bagging [2] . When random subsets of the...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html -
GammaRegressor — scikit-learn 1.8.0 docum...
determination R^2. R^2 uses squared error and D^2 uses the deviance...() >>> X = [[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ], [ 4 , 3...scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html -
auc — scikit-learn 1.8.0 documentation
2 , 2 ]) >>> y_score = np...y_true , y_score , pos_label = 2 ) >>> metrics . auc (...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html -
Swiss Roll And Swiss-Hole Reduction — sci...
n_components = 2 ) sr_tsne = manifold . TSNE ( n_components = 2 , perplexity...n_components = 2 ) sh_tsne = manifold . TSNE ( n_components = 2 , perplexity...scikit-learn.org/stable/auto_examples/manifold/plot_swissroll.html