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fbeta_score — scikit-learn 1.8.0 document...
1 , 2 , 0 , 1 , 2 ] >>> y_pred = [ 0 , 2 , 1 , 0...beta > 1 gives more weight to recall, while beta < 1 favors...scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html -
DecisionTreeRegressor — scikit-learn 1.8....
1: monotonic increase 0: no constraint -1: monotonic...scikit-learn 1.8 Release Highlights for scikit-learn 1.8 Decision...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html -
Normalizer — scikit-learn 1.8.0 documenta...
1 , 2 , 2 ], ... [ 1 , 3 , 9 , 3 ], ... [...0.4, 0.4], [0.1, 0.3, 0.9, 0.3], [0.5, 0.7, 0.5, 0.1]]) fit ( X...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Normalizer.html -
d2_brier_score — scikit-learn 1.8.0 docum...
y_true in {-1, 1} or {0, 1}, pos_label defaults to 1; else if y_true...explained. Best possible score is 1.0 and it can be negative because...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_brier_score.html -
Nearest Neighbors Classification — scikit...
feature_names [ 1 ], shading = "auto".... iloc [:, 0 ], X . iloc [:, 1 ], c = y , edgecolors = "k"...scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html -
RBFSampler — scikit-learn 1.8.0 documenta...
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y...version 1.2: The option "scale" was added in 1.2. n_components...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.RBFSampler.html -
check_cv — scikit-learn 1.8.0 documentation
y = [ 1 , 1 , 0 , 0 , 0 , 0 ], classifier...scikit-learn.org/stable/modules/generated/sklearn.model_selection.check_cv.html -
SparsePCA — scikit-learn 1.8.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...n_components = None , * , alpha = 1 , ridge_alpha = 0.01 , max_iter...scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparsePCA.html -
RadiusNeighborsTransformer — scikit-learn...
() array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) set_output...who’s the closest point to [1, 1, 1]: >>> import numpy...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsTransformer.html -
ExtraTreeClassifier — scikit-learn 1.8.0 ...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}]. The “balanced” mode uses...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeClassifier.html