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Model Selection — scikit-learn 1.7.1 documentation
Examples related to the sklearn.model_selection module. Balance model complexity and cross-validated score Class Likelihood Ratios to measure classification performance Comparing randomized search ...scikit-learn.org/stable/auto_examples/model_selection/index.html -
Kernel PCA — scikit-learn 1.7.1 documentation
This example shows the difference between the Principal Components Analysis ( PCA) and its kernelized version ( KernelPCA). On the one hand, we show that KernelPCA is able to find a projection of t...scikit-learn.org/stable/auto_examples/decomposition/plot_kernel_pca.html -
RadiusNeighborsTransformer — scikit-learn 1.7.1...
See the documentation of scipy.spatial.distance...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsTransformer.html -
Version 1.1 — scikit-learn 1.7.1 documentation
previously didn’t work as documented – or according to reasonable...Boisberranger . Code and documentation contributors Thanks to everyone...scikit-learn.org/stable/whats_new/v1.1.html -
fast_logdet — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version fast_logdet # sklearn.utils.extmath. fast_logdet ( A ...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.fast_logdet.html -
safe_sqr — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version safe_sqr # sklearn.utils. safe_sqr ( X , * , copy = T...scikit-learn.org/stable/modules/generated/sklearn.utils.safe_sqr.html -
get_tags — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version get_tags # sklearn.utils. get_tags ( estimator ) → Ta...scikit-learn.org/stable/modules/generated/sklearn.utils.get_tags.html -
Orthogonal Matching Pursuit — scikit-learn 1.7....
Using orthogonal matching pursuit for recovering a sparse signal from a noisy measurement encoded with a dictionary Total running time of the script:(0 minutes 0.203 seconds) Launch binder Launch J...scikit-learn.org/stable/auto_examples/linear_model/plot_omp.html -
Comparison of Calibration of Classifiers — scik...
Well calibrated classifiers are probabilistic classifiers for which the output of predict_proba can be directly interpreted as a confidence level. For instance, a well calibrated (binary) classifie...scikit-learn.org/stable/auto_examples/calibration/plot_compare_calibration.html -
sklearn.base — scikit-learn 1.7.1 documentation
Base classes for all estimators and various utility functions.scikit-learn.org/stable/api/sklearn.base.html