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3.1. Cross-validation: evaluating estimator per...
2 , 2 , 2 , 2 ] >>> groups = [ 1 , 1 , 2 , 2 , 3 , 3...)) [2 3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3]...scikit-learn.org/stable/modules/cross_validation.html -
Vector Database - Elasticsearch Labs
Integrations Generative AI + 2 June 16, 2025 Elasticsearch open...models in Elasticsearch - part 2 This article explores techniques...www.elastic.co/search-labs/blog/category/vector-database -
plot_classifier_comparison.py
make_classification( n_features=2, n_redundant=0, n_informative=2, random_state=1,...rng = np.random.RandomState(2) X += 2 * rng.uniform(size=X.shape)...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
ExtraTreesRegressor — scikit-learn 1.7.1 docume...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...= None , min_samples_split = 2 , min_samples_leaf = 1 , min_...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html -
lars_path — scikit-learn 1.7.1 documentation
is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...copy_X = True , eps = np.float64(2.220446049250313e-16) , copy_Gram...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path.html -
IsotonicRegression — scikit-learn 1.7.1 documen...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...Operations Research Vol. 14, No. 2 (May, 1989), pp. 303-308 Isotone...scikit-learn.org/stable/modules/generated/sklearn.isotonic.IsotonicRegression.html -
QuantileRegressor — scikit-learn 1.7.1 document...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...n_samples , n_features = 10 , 2 >>> rng = np . random . RandomState...scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html -
TransformedTargetRegressor — scikit-learn 1.7.1...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...The function needs to return a 2-dimensional array. inverse_func...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
v_measure_score — scikit-learn 1.7.1 documentation
2 ], [ 0 , 0 , 1 , 1 ])) 0.8 >>>...% v_measure_score ([ 0 , 1 , 2 , 3 ], [ 0 , 0 , 1 , 1 ])) 0.67...scikit-learn.org/stable/modules/generated/sklearn.metrics.v_measure_score.html -
PolynomialCountSketch — scikit-learn 1.7.1 docu...
degree = 2 , coef0 = 0 , n_components = 100...approximated. degree int, default=2 Degree of the polynomial kernel...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.PolynomialCountSketch.html