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StratifiedKFold — scikit-learn 1.8.0 documentation
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> skf = StratifiedKFold...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html -
partial_dependence — scikit-learn 1.8.0 documen...
[ 1 , 0 , 0 ]] >>> y = [ 0 , 1 ] >>> from sklearn.ensemble...interacting features (e.g. [(0, 1)] ) for which the partial dependency...scikit-learn.org/stable/modules/generated/sklearn.inspection.partial_dependence.html -
MiniBatchDictionaryLearning — scikit-learn 1.8....
1 ( U , V ) with || V_k || _2 <= 1 for all 0 <=...heuristics. Added in version 1.1. fit_algorithm {‘lars’, ‘cd’},...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html -
nan_euclidean_distances — scikit-learn 1.8.0 do...
6] and [1, na, 4, 5] is: \[\sqrt{\frac{4}{2}((3-1)^2 + (6-5)^2)}\]...float ( "NaN" ) >>> X = [[ 0 , 1 ], [ 1 , nan ]] >>> nan_euclidean_distances...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.nan_euclidean_distances.html -
IsolationForest — scikit-learn 1.8.0 documentation
1 ], [ 0 ], [ 90 ]]) array([ 1, 1, -1]) For an example...from 0.1 to 'auto' . max_features int or float, default=1.0 The...scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html -
SplineTransformer — scikit-learn 1.8.0 document...
n_splines=n_knots + degree - 1 ( n_knots - 1 for extrapolation="periodic"...degree - 1 for non-periodic splines and n_knots - 1 for periodic...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html -
HalvingGridSearchCV — scikit-learn 1.8.0 docume...
means 1 unless in a joblib.parallel_backend context. -1 means...for a classification problem 1 when resource != 'n_samples' ‘exhaust’...scikit-learn.org/stable/modules/generated/sklearn.model_selection.HalvingGridSearchCV.html -
locally_linear_embedding — scikit-learn 1.8.0 d...
n_neighbors > n_components * (1 + (n_components + 1) / 2. see reference...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.manifold.locally_linear_embedding.html -
RegressorMixin — scikit-learn 1.8.0 documentation
array ([ - 1 , 0 , 1 ]) >>> estimator . fit ( X...__init__ ( self , * , param = 1 ): ... self . param = param ......scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html -
GroupKFold — scikit-learn 1.8.0 documentation
index=[0 1 4 5], group=[0 0 3 3] Fold 1: Train: index=[0 1 4 5],...scikit-learn 1.4 Release Highlights for scikit-learn 1.4 On this...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html