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Categorical Feature Support in Gradient Boostin...
versionchanged:: 1.1 Added option 'quantile'. .. versionchanged:: 1.3 Added...versionchanged:: 1.1 Added option 'quantile'. .. versionchanged:: 1.3 Added...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_categorical.html -
SGDRegressor — scikit-learn 1.8.0 documen...
<= 1. l1_ratio=0 corresponds to L2 penalty, l1_ratio=1 to L1....passive-aggressive algorithm 1, see [1] . Only with loss='epsilon_insensitive'...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
Illustration of prior and posterior Gaussian pr...
) axs [ 1 ] . legend ( bbox_to_anchor = ( 1.05 , 1.5 ), loc... ) axs [ 1 ] . legend ( bbox_to_anchor = ( 1.05 , 1.5 ), loc...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_prior_posterior.html -
dict_learning — scikit-learn 1.8.0 docume...
1 ( U , V ) with || V_k || _2 = 1 for all 0 <=...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning.html -
DBSCAN — scikit-learn 1.8.0 documentation
1, 1, -1]) >>> clustering...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.cluster.DBSCAN.html -
DummyClassifier — scikit-learn 1.8.0 docu...
([ - 1 , 1 , 1 , 1 ]) >>> y = np . array ([ 0 , 1 , 1...dummy_clf . predict ( X ) array([1, 1, 1, 1]) >>> dummy_clf...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
Comparison of kernel ridge and Gaussian process...
reshape ( - 1 , 1 ) target = np . sin ( data )...ExpSineSquared(length_scale=1, periodicity=1) Our kernel has two parameters:...scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html -
Shield Reference for 2.x and 1.x | Elastic
x and 1.x: 1.1 Shield Reference for 2.x and 1.x: 1.0 Most Popular...2.x and 1.x: 1.3 Shield Reference for 2.x and 1.x: 1.2 Shield...www.elastic.co/guide/en/shield/index.html -
OneVsOneClassifier — scikit-learn 1.8.0 d...
1, 0, 2, 0, 2, 0, 1, 1, 1]) decision_function...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html -
VarianceThreshold — scikit-learn 1.8.0 do...
1 , 4 , 3 ], [ 0 , 1 , 1 , 3 ]] >>>...fit_transform ( X ) array([[2, 0], [1, 4], [1, 1]]) fit ( X , y = None )...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.VarianceThreshold.html