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Plot the decision boundaries of a VotingClassif...
Plot the decision boundaries of a VotingClassifier for two features of the Iris dataset. Plot the class probabilities of the first sample in a toy dataset predicted by three different classifiers a...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html -
Two-class AdaBoost — scikit-learn 1.5.2 documen...
This example fits an AdaBoosted decision stump on a non-linearly separable classification dataset composed of two “Gaussian quantiles” clusters (see sklearn.datasets.make_gaussian_quantiles) and pl...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html -
Gaussian Process for Machine Learning — scikit-...
Examples concerning the sklearn.gaussian_process module. Ability of Gaussian process regression (GPR) to estimate data noise-level Comparison of kernel ridge and Gaussian process regression Forecas...scikit-learn.org/stable/auto_examples/gaussian_process/index.html -
SGD: Weighted samples — scikit-learn 1.5.2 docu...
Plot decision function of a weighted dataset, where the size of points is proportional to its weight. Total running time of the script:(0 minutes 0.079 seconds) Launch binder Launch JupyterLite Dow...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html -
Agglomerative clustering with different metrics...
Demonstrates the effect of different metrics on the hierarchical clustering. The example is engineered to show the effect of the choice of different metrics. It is applied to waveforms, which can b...scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering_metrics.html -
A demo of the Spectral Biclustering algorithm —...
This example demonstrates how to generate a checkerboard dataset and bicluster it using the SpectralBiclustering algorithm. The spectral biclustering algorithm is specifically designed to cluster d...scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_biclustering.html -
Sparse inverse covariance estimation — scikit-l...
Using the GraphicalLasso estimator to learn a covariance and sparse precision from a small number of samples. To estimate a probabilistic model (e.g. a Gaussian model), estimating the precision mat...scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html -
Version 0.23 — scikit-learn 1.7.dev0 documentation
previously didn’t work as documented – or according to reasonable...follow the Python logging documentation recommendation for libraries...scikit-learn.org/dev/whats_new/v0.23.html -
Inductive Clustering — scikit-learn 1.5.2 docum...
text documents Out-of-core classification of text documents Gaussian...scikit-learn.org/stable/auto_examples/cluster/plot_inductive_clustering.html -
Feature agglomeration — scikit-learn 1.5.2 docu...
Varoquaux # Modified for documentation by Jaques Grobler # License:...scikit-learn.org/stable/auto_examples/cluster/plot_digits_agglomeration.html