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Comparison of the K-Means and MiniBatchKMeans c...
We want to compare the performance of the MiniBatchKMeans and KMeans: the MiniBatchKMeans is faster, but gives slightly different results (see Mini Batch K-Means). We will cluster a set of data, fi...scikit-learn.org/stable/auto_examples/cluster/plot_mini_batch_kmeans.html -
d2_absolute_error_score — scikit-learn 1.7.2 do...
Skip to main content Back to top Ctrl + K GitHub Choose version d2_absolute_error_score # sklearn.metrics. d2_absolut...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_absolute_error_score.html -
1.11. Ensembles: Gradient boosting, random fore...
Ensemble methods combine the predictions of several base estimators built with a given learning algorithm in order to improve generalizability / robustness over a single estimator. Two very famous ...scikit-learn.org/stable/modules/ensemble.html -
SVM-Anova: SVM with univariate feature selectio...
This example shows how to perform univariate feature selection before running a SVC (support vector classifier) to improve the classification scores. We use the iris dataset (4 features) and add 36...scikit-learn.org/stable/auto_examples/svm/plot_svm_anova.html -
Plot the decision surface of decision trees tra...
Plot the decision surface of a decision tree trained on pairs of features of the iris dataset. See decision tree for more information on the estimator. For each pair of iris features, the decision ...scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.html -
Release Highlights for scikit-learn 1.3 — sciki...
We are pleased to announce the release of scikit-learn 1.3! Many bug fixes and improvements were added, as well as some new key features. We detail below a few of the major features of this release...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html -
single_source_shortest_path_length — scikit-lea...
Skip to main content Back to top Ctrl + K GitHub Choose version single_source_shortest_path_length # sklearn.utils.gr...scikit-learn.org/stable/modules/generated/sklearn.utils.graph.single_source_shortest_path_length.... -
inplace_csr_row_normalize_l2 — scikit-learn 1.7...
Skip to main content Back to top Ctrl + K GitHub Choose version inplace_csr_row_normalize_l2 # sklearn.utils.sparsefu...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normaliz... -
Lasso, Lasso-LARS, and Elastic Net paths — scik...
This example shows how to compute the “paths” of coefficients along the Lasso, Lasso-LARS, and Elastic Net regularization paths. In other words, it shows the relationship between the regularization...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lasso_lars_elasticnet_path.html -
5.1. Partial Dependence and Individual Conditio...
Partial dependence plots (PDP) and individual conditional expectation (ICE) plots can be used to visualize and analyze interaction between the target response 1 and a set of input features of inter...scikit-learn.org/stable/modules/partial_dependence.html