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fetch_olivetti_faces — scikit-learn 1.8.0 docum...
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load the Olivetti...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_olivetti_faces.html -
QuantileTransformer — scikit-learn 1.8.0 docume...
Added in version 1.5: The option None to disable...all strings. Added in version 1.0. See also quantile_transform...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.html -
ParameterSampler — scikit-learn 1.8.0 doc...
'a' : 1 }, ... { 'b' : 0.923223 , 'a' : 1 }, ......'b' : 1.878964 , 'a' : 2 }, ... { 'b' : 1.038159...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterSampler.html -
fowlkes_mallows_score — scikit-learn 1.8.0 docu...
1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> fowlkes_mallows_score...fowlkes_mallows_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 If classes members...scikit-learn.org/stable/modules/generated/sklearn.metrics.fowlkes_mallows_score.html -
paired_euclidean_distances — scikit-learn 1.8.0...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...paired_euclidean_distances ( X , Y ) array([1., 1.]) On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_euclidean_distances.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 -
confusion_matrix — scikit-learn 1.8.0 documenta...
1 , 0 , 1 ], [ 1 , 1 , 1 , 0 ]) . ravel ()...) array([[2, 0, 0], [0, 0, 1], [1, 0, 2]]) >>> y_true = [ "cat"...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html -
make_sparse_spd_matrix — scikit-learn 1.8.0 doc...
array([[1., 0., 0., 0.], [0., 1., 0., 0.], [0., 0., 1., 0.], [0.,...elements all 1. smallest_coef float, default=0.1 The value of...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_spd_matrix.html -
f1_score — scikit-learn 1.8.0 documentation
[ 1 , 1 , 1 ], [ 0 , 1 , 1 ]] >>> y_pred = [[...[[ 0 , 0 , 0 ], [ 1 , 1 , 1 ], [ 1 , 1 , 0 ]] >>> f1_score ( y_true...scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html -
make_moons — scikit-learn 1.8.0 documentation
) The integer labels (0 or 1) for class membership of each...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html