- Sort Score
- Num 10 results
- Language All
- Labels All
Results 2211 - 2220 of over 10,000 for * (7.35 seconds)
Filter
-
KFold — scikit-learn 1.8.0 documentation
) Fold 0: Train: index=[2 3] Test: index=[0 1] Fold 1: Train:...X = np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html -
OutputCodeClassifier — scikit-learn 1.8.0 docum...
predict ([[ 0 , 0 , 0 , 0 ]]) array([1]) fit ( X , y , **...compressing the model (0 < code_size < 1) or for making the model...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html -
CategoricalNB — scikit-learn 1.8.0 documentation
close to 0. Added in version 1.2. Changed in version 1.4: The default...CategoricalNB ( * , alpha = 1.0 , force_alpha = True , fit_prior...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html -
check_cv — scikit-learn 1.8.0 documentation
y = [ 1 , 1 , 0 , 0 , 0 , 0 ], classifier = True...used here. Changed in version 0.22: cv default value changed from...scikit-learn.org/stable/modules/generated/sklearn.model_selection.check_cv.html -
sklearn.pipeline — scikit-learn 1.8.0 documenta...
Utilities to build a composite estimator as a chain of transforms and estimators. User guide. See the Pipelines and composite estimators section for further details.scikit-learn.org/stable/api/sklearn.pipeline.html -
FeatureUnion — scikit-learn 1.8.0 documentation
X ) array([[-1.5 , 3.04, -0.872], [ 1.5 , 5.72, 0.463]]) >>> #...svd__n_components = 1 ) . fit_transform ( X ) array([[-1.5 , 3.04], [ 1.5 , 5.72]])...scikit-learn.org/stable/modules/generated/sklearn.pipeline.FeatureUnion.html -
HalvingRandomSearchCV — scikit-learn 1.8.0 docu...
means 1 unless in a joblib.parallel_backend context. -1 means...feature_names_in_ when fit. Added in version 1.0. See also HalvingGridSearchCV...scikit-learn.org/stable/modules/generated/sklearn.model_selection.HalvingRandomSearchCV.html -
BayesianGaussianMixture — scikit-learn 1.8.0 do...
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], [ 4 , 2 ], [ 12.... predict ([[ 0 , 0 ], [ 9 , 3 ]]) array([0, 1]) fit ( X , y...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
RadiusNeighborsRegressor — scikit-learn 1.8.0 d...
() array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) score (...= [[ 0 ], [ 1 ], [ 2 ], [ 3 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsRegressor.html -
FixedThresholdClassifier — scikit-learn 1.8.0 d...
y_true is in {-1, 1} or {0, 1} , pos_label is set to 1, otherwise...1_000 , weights = [ 0.9 , 0.1 ], class_sep = 0.8 , random_state...scikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html