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Early stopping in Gradient Boosting — scikit-le...
Gradient Boosting is an ensemble technique that combines multiple weak learners, typically decision trees, to create a robust and powerful predictive model. It does so in an iterative fashion, wher...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_early_stopping.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 -
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 -
Two-class AdaBoost — scikit-learn 1.7.1 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 -
SGD: Weighted samples — scikit-learn 1.7.1 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 0.072 seconds) Launch binder Launch JupyterLite Dow...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html -
SVM Tie Breaking Example — scikit-learn 1.7.1 d...
Tie breaking is costly if decision_function_shape='ovr', and therefore it is not enabled by default. This example illustrates the effect of the break_ties parameter for a multiclass classification ...scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html -
9.3. Parallelism, resource management, and conf...
n_jobs is currently poorly documented. Please help us by improving...explained by this piece of documentation . 9.3.1.3. Parallel NumPy...scikit-learn.org/stable/computing/parallelism.html -
Fitting an Elastic Net with a precomputed Gram ...
see the documentation for the sample_weight parameter...nbviewer.org. ElasticNet ? Documentation for ElasticNet i Fitted...scikit-learn.org/stable/auto_examples/linear_model/plot_elastic_net_precomputed_gram_matrix_with_... -
8.4. Loading other datasets — scikit-learn 1.7....
see the OpenML documentation The data_id of the mice...scikit-learn.org/stable/datasets/loading_other_datasets.html -
Release Highlights for scikit-learn 1.2 — sciki...
Documentation for HistGradientBoosting...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_2_0.html