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clustering.rst.txt
2, 0, 3, 4, 5, 1] >>> labels_pred = [1, 1, 0, 0, 2, 2, 2,...1, 2, 0, 3, 4, 5, 1] >>> labels_pred = [1, 1, 0, 0, 2, 2, 2,...scikit-learn.org/stable/_sources/modules/clustering.rst.txt -
Release Highlights for scikit-learn 0.24 — scik...
2. From 1.2, use # PartialDependenceDis...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Gallery generated...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html -
Feature discretization — scikit-learn 1.8.0 doc...
n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state...GradientBoostingClas: 0.84 SVC: 0.84 dataset 2 --------- LogisticRegression:...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html -
SVM Tie Breaking Example — scikit-learn 1.8.0 d...
2 ), ( 1 , 2 )] line = np . linspace...fig , sub = plt . subplots ( 2 , 1 , figsize = ( 5 , 8 )) titles...scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html -
Custom refit strategy of a grid search with cro...
as in '2*n_jobs' '2*n_jobs' error_score error_score:...function of n_jobs, as in '2*n_jobs' '2*n_jobs' error_score error_score:...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html -
DictVectorizer — scikit-learn 1.8.0 documentation
'bar' : 2 }, { 'foo' : 3 , 'baz' : 1 }]...fit_transform ( D ) >>> X array([[2., 0., 1.], [0., 1., 3.]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html -
MLPRegressor — scikit-learn 1.8.0 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...array-like of shape(n_layers - 2,), default=(100,) The ith element...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
1.11. Ensembles: Gradient boosting, random fore...
features 1 and 2. But note that features 0 and 2 are forbidden...Right split at feature 2 has only group {1, 2} from now on. LightGBM...scikit-learn.org/stable/modules/ensemble.html -
SVM with custom kernel — scikit-learn 1.8.0 doc...
: 2 ] # we only take the first two...""" We create a custom kernel: (2 0) k(X, Y) = X ( ) Y.T (0 1) """...scikit-learn.org/stable/auto_examples/svm/plot_custom_kernel.html -
plot_hgbt_regression.py
2. :ref:`categorical_support_gbdt`,...showcasing all points except 2 and 6 in a real life setting....scikit-learn.org/stable/_downloads/d108f2283ac3905eb623b32d42217a2b/plot_hgbt_regression.py