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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 -
TruncatedSVD — scikit-learn 1.7.1 documentation
TruncatedSVD ( n_components = 2 , * , algorithm = 'randomized'...Parameters : n_components int, default=2 Desired dimensionality of output...scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html -
StratifiedShuffleSplit — scikit-learn 1.7.1 doc...
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 ,...Test: index=[0 2 3] Fold 2: Train: index=[5 0 2] Test: index=[4...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
RidgeCV — scikit-learn 1.7.1 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...coefficient of determination ( \(R^2\) ) otherwise. cv int, cross-validation...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html -
DecisionBoundaryDisplay — scikit-learn 1.7.1 do...
2) Input data that should be only 2-dimensional....load_iris () >>> feature_1 , feature_2 = np . meshgrid ( ... np . linspace...scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html -
HistGradientBoostingRegressor — scikit-learn 1....
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Release Highlights...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html -
LinearRegression — scikit-learn 1.7.1 documenta...
2 ], [ 2 , 2 ], [ 2 , 3 ]]) >>> # y = 1 * x_0 + 2 * x_1...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html -
RationalQuadratic — scikit-learn 1.7.1 document...
x_j)^2 }{ 2\alpha l^2}\right)^{-\alpha}\] where...>>> gpc . predict_proba ( X [: 2 ,:]) array([[0.8881, 0.0566, 0.05518],...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RationalQuadratic.html -
homogeneity_score — scikit-learn 1.7.1 document...
2 ])) 1.000000 >>> print ( " %.6f...([ 0 , 0 , 1 , 1 ], [ 0 , 1 , 2 , 3 ])) 1.000000 Clusters that...scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_score.html -
7.7. Kernel Approximation — scikit-learn 1.7.1 ...
\Lambda U_2^T \\ U_2 \Lambda U_1^T & U_2 \Lambda U_2^T \end{bmatrix}...\\ U_2\end{bmatrix} \Lambda \begin{bmatrix} U_1 \\ U_2 \end{bmatrix}^T...scikit-learn.org/stable/modules/kernel_approximation.html