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Dataset examples — scikit-learn 1.7.1 documenta...
Examples concerning the sklearn.datasets module. Plot randomly generated multilabel datasetscikit-learn.org/stable/auto_examples/datasets/index.html -
Ensemble methods — scikit-learn 1.7.1 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 -
Multiclass methods — scikit-learn 1.7.1 documen...
Examples concerning the sklearn.multiclass module. Overview of multiclass training meta-estimatorsscikit-learn.org/stable/auto_examples/multiclass/index.html -
Multioutput methods — scikit-learn 1.7.1 docume...
Examples concerning the sklearn.multioutput module. Multilabel classification using a classifier chainscikit-learn.org/stable/auto_examples/multioutput/index.html -
is_classifier — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version is_classifier # sklearn.base. is_classifier ( estimat...scikit-learn.org/stable/modules/generated/sklearn.base.is_classifier.html -
Developing scikit-learn estimators — scikit-lea...
SGDClassifier ([[ 1 , 2 ], [ 2 , 3 ]], [ - 1 , 1 ]) # WRONG! Ideally,...be modified if param1 > 1 : param2 += 1 self . param1 = param1...scikit-learn.org/stable/developers/develop.html -
Categorical Feature Support in Gradient Boostin...
will need 4 splits: 1 split to isolate A , 1 split to isolate F...include = "number" ) . shape [ 1 ] print ( f "Number of samples:...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_categorical.html -
make_swiss_roll — scikit-learn 1.7.1 documentation
algorithm is from Marsland [1]. References [ 1 ] S. Marsland, “Machine...from Stephen Marsland’s code [1]. Parameters : n_samples int,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_swiss_roll.html -
inplace_csr_row_normalize_l1 — scikit-learn 1.7...
1 , 2 , 3 ]) >>> data = np . array ([ 1.0 , 2.0 , 3.0...0. ], [0. , 0. , 1. , 0. ], [0. , 0. , 0. , 1. ]]) On this page...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normaliz... -
Kernel Density Estimate of Species Distribution...
subplot ( 1 , 2 , i + 1 ) # construct a kernel density...Returns ------- (xgrid, ygrid) : 1-D arrays The grid corresponding...scikit-learn.org/stable/auto_examples/neighbors/plot_species_kde.html