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Ability of Gaussian process regression (GPR) to...
= ( 1e-2 , 1e3 )) + WhiteKernel ( noise_level = 1e-2 , noise_level_bounds...( - 2 , 4 , num = 80 ) noise_level = np . logspace ( - 2 , 1...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_noisy.html -
Principal Component Regression vs Partial Least...
n_samples ) / 2 fig , axes = plt . subplots ( 1 , 2 , figsize =...target. pca_2 = make_pipeline ( PCA ( n_components = 2 ), LinearRegression...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
sort_graph_by_row_values — scikit-learn 1.5.2 d...
2. ], ... [ 1. , 2. , 0. ]]) >>> X . data...data array([3., 1., 3., 2., 1., 2.]) >>> X_ = sort_graph_by_row_values...scikit-learn.org/stable/modules/generated/sklearn.neighbors.sort_graph_by_row_values.html -
incr_mean_variance_axis — scikit-learn 1.5.2 do...
2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5 ]) >>>...>>> scale = np . array ([ 2 , 3 , 2 ]) >>> csr = sparse . csr_matrix...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.incr_mean_variance_axis.html -
Scikit-learn governance and decision-making — s...
The purpose of this document is to formalize the governance process used by the scikit-learn project, to clarify how decisions are made and how the various elements of our community interact. This ...scikit-learn.org/stable/governance.html -
An example of K-Means++ initialization — scikit...
An example to show the output of the sklearn.cluster.kmeans_plusplus function for generating initial seeds for clustering. K-Means++ is used as the default initialization for K-means. Total running...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_plusplus.html -
enable_halving_search_cv — scikit-learn 1.5.2 d...
Enables Successive Halving search-estimators The API and results of these estimators might change without any deprecation cycle. Importing this file dynamically sets the HalvingRandomSearchCV and H...scikit-learn.org/stable/modules/generated/sklearn.experimental.enable_halving_search_cv.html -
make_sparse_spd_matrix — scikit-learn 1.5.2 doc...
Gallery examples: Sparse inverse covariance estimationscikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_spd_matrix.html -
all_functions — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub all_functions # sklearn.utils.discovery. all_functions ( ) [source] ...scikit-learn.org/stable/modules/generated/sklearn.utils.discovery.all_functions.html -
check_scalar — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub check_scalar # sklearn.utils. check_scalar ( x , name , target_type ...scikit-learn.org/stable/modules/generated/sklearn.utils.check_scalar.html