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Version 0.24 — scikit-learn 1.7.1 documentation
previously didn’t work as documented – or according to reasonable...by Nathan C. . Code and documentation contributors Thanks to everyone...scikit-learn.org/stable/whats_new/v0.24.html -
sample_without_replacement — scikit-learn 1.7.1...
Skip to main content Back to top Ctrl + K GitHub Choose version sample_without_replacement # sklearn.utils.random. sa...scikit-learn.org/stable/modules/generated/sklearn.utils.random.sample_without_replacement.html -
inplace_column_scale — scikit-learn 1.7.1 docum...
Skip to main content Back to top Ctrl + K GitHub Choose version inplace_column_scale # sklearn.utils.sparsefuncs. inp...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_column_scale.html -
Image denoising using dictionary learning — sci...
An example comparing the effect of reconstructing noisy fragments of a raccoon face image using firstly online Dictionary Learning and various transform methods. The dictionary is fitted on the dis...scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html -
Demo of affinity propagation clustering algorit...
Reference: Brendan J. Frey and Delbert Dueck, “Clustering by Passing Messages Between Data Points”, Science Feb. 2007 Generate sample data: Compute Affinity Propagation: Plot result: Total running ...scikit-learn.org/stable/auto_examples/cluster/plot_affinity_propagation.html -
Time-related feature engineering — scikit-learn...
This notebook introduces different strategies to leverage time-related features for a bike sharing demand regression task that is highly dependent on business cycles (days, weeks, months) and yearl...scikit-learn.org/stable/auto_examples/applications/plot_cyclical_feature_engineering.html -
Manifold Learning methods on a severed sphere —...
An application of the different Manifold learning techniques on a spherical data-set. Here one can see the use of dimensionality reduction in order to gain some intuition regarding the manifold lea...scikit-learn.org/stable/auto_examples/manifold/plot_manifold_sphere.html -
Comparison of kernel ridge regression and SVR —...
Both kernel ridge regression (KRR) and SVR learn a non-linear function by employing the kernel trick, i.e., they learn a linear function in the space induced by the respective kernel which correspo...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html -
brier_score_loss — scikit-learn 1.7.1 documenta...
Gallery examples: Probability calibration of classifiers Probability Calibration curves Probability Calibration for 3-class classification Examples of Using FrozenEstimatorscikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html -
average_precision_score — scikit-learn 1.7.1 do...
Gallery examples: Precision-Recallscikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html