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adjusted_rand_score — scikit-learn 1.8.0 ...
1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> adjusted_rand_score...adjusted_rand_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings that...scikit-learn.org/stable/modules/generated/sklearn.metrics.adjusted_rand_score.html -
BaseEstimator — scikit-learn 1.8.0 docume...
array ([ 1 , 0 , 1 ]) >>> estimator...__init__ ( self , * , param = 1 ): ... self . param = param ......scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html -
lars_path — scikit-learn 1.8.0 documentation
the case method=’lasso’ is: ( 1 / ( 2 * n_samples )) * || y -...equation (see discussion in [1] ). Read more in the User Guide...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path.html -
d2_pinball_score — scikit-learn 1.8.0 doc...
Added in version 1.1. Parameters : y_true array-like...y_true = [ 1 , 2 , 3 ] >>> y_pred = [ 1 , 3 , 3 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_pinball_score.html -
PartialDependenceDisplay — scikit-learn 1...
Added in version 1.1: Add the possibility to pass...display . plot ( pdp_lim = { 1 : ( - 1.38 , 0.66 )}) <...>...scikit-learn.org/stable/modules/generated/sklearn.inspection.PartialDependenceDisplay.html -
TimeSeriesSplit — scikit-learn 1.8.0 docu...
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [...index=[0] Test: index=[1] Fold 1: Train: index=[0 1] Test: index=[2]...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html -
OAS — scikit-learn 1.8.0 documentation
precision_ array([[ 1.7833, -1.2431 ], [-1.2431, 3.3889]]) >>>...the estimator. References [ 1 ] ( 1 , 2 ) “Shrinkage algorithms...scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html -
5.1. Partial Dependence and Individual Conditio...
1.1. Partial dependence plots # Partial..., learning_rate = 1.0 , ... max_depth = 1 , random_state = 0...scikit-learn.org/stable/modules/partial_dependence.html -
indexable — scikit-learn 1.8.0 documentation
[ 1 , 2 , 3 ], np . array ([ 2 , 3...>>> indexable ( * iterables ) [[1, 2, 3], array([2, 3, 4]), None,...scikit-learn.org/stable/modules/generated/sklearn.utils.indexable.html -
make_friedman2 — scikit-learn 1.8.0 docum...
1 ] <= 560 * pi , 0 <= X [:, 2 ] <= 1 , 1 <=...** 2 + ( X [:, 1 ] * X [:, 2 ] - 1 / ( X [:, 1 ] * X [:, 3 ]))...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman2.html