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Matern — scikit-learn 1.8.0 documentation
\frac{1}{\Gamma(\nu)2^{\nu-1}}\Bigg( \frac{\sqrt{2\nu}}{l} d(x_i ,...the RBF kernel. When \(\nu = 1/2\) , the Matérn kernel becomes...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html -
IncrementalPCA — scikit-learn 1.8.0 docum...
[ - 2 , - 1 ], [ - 3 , - 2 ], ... [ 1 , 1 ], [ 2 , 1 ], [...O(batch_size * n_features ** 2) , but only 2 * batch_size samples remain...scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html -
KBinsDiscretizer — scikit-learn 1.8.0 doc...
[ 2., 2., 2., 1.], [ 2., 2., 2., 2.]]) Sometimes...>>> X = [[ - 2 , 1 , - 4 , - 1 ], ... [ - 1 , 2 , - 3 , - 0.5...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html -
7.4. Imputation of missing values — sciki...
2. Univariate feature imputation...>>> imp . fit ([[ 1 , 2 ], [ np . nan , 3 ], [ 7 , 6 ]])...scikit-learn.org/stable/modules/impute.html -
ElasticNet — scikit-learn 1.8.0 documenta...
\[\frac{1}{2 n_{\rm samples}} \cdot \|y - X w\|_2^2 + \alpha \cdot...is: ( 1 / ( 2 * n_samples )) * || Y - XW || _Fro ^ 2 + alpha *...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html -
Gradient Boosting regression — scikit-lea...
2 , 2 ) # `labels` argument in boxplot...permutation methods identify the same 2 strongly predictive features but...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html -
Linear and Quadratic Discriminant Analysis with...
[ 2.5 , 0.7 ]]) * 2.0 cov_class_2 = cov_class_1.... Ellipse ( mean , 2 * v [ 0 ] ** 0.5 , 2 * v [ 1 ] ** 0.5 ,...scikit-learn.org/stable/auto_examples/classification/plot_lda_qda.html -
Scalable learning with polynomial kernel approx...
= 2 ] = 0 y [ y == 2 ] = 1 # We will try to...We use the Covtype dataset [ 2 ] , trying to reproduce the experiments...scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html -
Overview of multiclass training meta-estimators...
code_size = 2 ) cv_results_tree = cross_validate..., X , y , cv = cv , n_jobs = 2 ) cv_results_ovo = cross_validate...scikit-learn.org/stable/auto_examples/multiclass/plot_multiclass_overview.html -
resample — scikit-learn 1.8.0 documentation
[ 2. , 1. ], [ 0. , 0. ]]) >>>...>>> y = np . array ([ 0 , 1 , 2 ]) >>> from scipy.sparse...scikit-learn.org/stable/modules/generated/sklearn.utils.resample.html