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Ensemble methods — scikit-learn 1.5.2 documenta...
Examples concerning the sklearn.ensemble module. Categorical Feature Support in Gradient Boosting Combine predictors using stacking Comparing Random Forests and Histogram Gradient Boosting models C...scikit-learn.org/stable/auto_examples/ensemble/index.html -
Decision Trees — scikit-learn 1.5.2 documentation
Examples concerning the sklearn.tree module. Decision Tree Regression Multi-output Decision Tree Regression Plot the decision surface of decision trees trained on the iris dataset Post pruning deci...scikit-learn.org/stable/auto_examples/tree/index.html -
Multioutput methods — scikit-learn 1.5.2 docume...
Examples concerning the sklearn.multioutput module. Multilabel classification using a classifier chainscikit-learn.org/stable/auto_examples/multioutput/index.html -
Monotonic Constraints — scikit-learn 1.5.2 docu...
This example illustrates the effect of monotonic constraints on a gradient boosting estimator. We build an artificial dataset where the target value is in general positively correlated with the fir...scikit-learn.org/stable/auto_examples/ensemble/plot_monotonic_constraints.html -
Multiclass methods — scikit-learn 1.5.2 documen...
Examples concerning the sklearn.multiclass module. Overview of multiclass training meta-estimatorsscikit-learn.org/stable/auto_examples/multiclass/index.html -
is_classifier — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub is_classifier # sklearn.base. is_classifier ( estimator ) [source] #...scikit-learn.org/stable/modules/generated/sklearn.base.is_classifier.html -
Dataset examples — scikit-learn 1.5.2 documenta...
Examples concerning the sklearn.datasets module. Plot randomly generated classification dataset Plot randomly generated multilabel dataset The Digit Dataset The Iris Datasetscikit-learn.org/stable/auto_examples/datasets/index.html -
1.11. Ensembles: Gradient boosting, random fore...
make_hastie_10_2 >>> X , y = make_hastie_10_2 ( random_state...x_1' \implies F(x_1, x_2) \leq F(x_1', x_2)\] a monotonic decrease...scikit-learn.org/stable/modules/ensemble.html -
Gaussian Mixture Model Selection — scikit-learn...
2 ), C ) # general component_2 = 0.7 * np . random...scatter ( component_2 [:, 0 ], component_2 [:, 1 ], s = 0.8 )...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_selection.html -
Various Agglomerative Clustering on a 2D embedd...
SpectralEmbedding ( n_components = 2 ) . fit_transform ( X ) print...scikit-learn.org/stable/auto_examples/cluster/plot_digits_linkage.html