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Ability of Gaussian process regression (GPR) to...
This example shows the ability of the WhiteKernel to estimate the noise level in the data. Moreover, we show the importance of kernel hyperparameters initialization. Data generation: We will work i...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_noisy.html -
Feature agglomeration vs. univariate selection ...
This example compares 2 dimensionality reduction strategies: univariate feature selection with Anova, feature agglomeration with Ward hierarchical clustering. Both methods are compared in a regress...scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.... -
Comparison of kernel ridge and Gaussian process...
This example illustrates differences between a kernel ridge regression and a Gaussian process regression. Both kernel ridge regression and Gaussian process regression are using a so-called “kernel ...scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html -
Regularization path of L1- Logistic Regression ...
Train l1-penalized logistic regression models on a binary classification problem derived from the Iris dataset. The models are ordered from strongest regularized to least regularized. The 4 coeffic...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_path.html -
check_scalar — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version check_scalar # sklearn.utils. check_scalar ( x , name...scikit-learn.org/stable/modules/generated/sklearn.utils.check_scalar.html -
all_displays — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version all_displays # sklearn.utils.discovery. all_displays ...scikit-learn.org/stable/modules/generated/sklearn.utils.discovery.all_displays.html -
all_functions — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version all_functions # sklearn.utils.discovery. all_function...scikit-learn.org/stable/modules/generated/sklearn.utils.discovery.all_functions.html -
weighted_mode — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version weighted_mode # sklearn.utils.extmath. weighted_mode ...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.weighted_mode.html -
sigmoid_kernel — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version sigmoid_kernel # sklearn.metrics.pairwise. sigmoid_ke...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.sigmoid_kernel.html -
linear_kernel — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version linear_kernel # sklearn.metrics.pairwise. linear_kern...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.linear_kernel.html