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ExpSineSquared — scikit-learn 1.8.0 docum...
ExpSineSquared ( length_scale = 1.0 , periodicity = 1.0 , length_scale_bounds...ExpSineSquared ( length_scale = 1 , periodicity = 1 ) >>> gpr =...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.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 -
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 -
DecisionBoundaryDisplay — scikit-learn 1....
Added in version 1.1. Parameters : xx0 ndarray of...iris . data [:, 1 ] . min (), iris . data [:, 1 ] . max ()) ......scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html -
auc — scikit-learn 1.8.0 documentation
array ([ 1 , 1 , 2 , 2 ]) >>> y_score...y_score = np . array ([ 0.1 , 0.4 , 0.35 , 0.8 ]) >>> fpr...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.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 -
validation_curve — scikit-learn 1.8.0 doc...
means 1 unless in a joblib.parallel_backend context. -1 means...GroupKFold ). Changed in version 1.6: groups can only be passed if...scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
check_X_y — scikit-learn 1.8.0 documentation
ensure_min_samples = 1 , ensure_min_features = 1 , y_numeric = False...= [[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]] >>> y = [ 1 , 2 ,...scikit-learn.org/stable/modules/generated/sklearn.utils.check_X_y.html -
non_negative_factorization — scikit-learn...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...version 1.4: Added 'auto' value. Changed in version 1.6: Default...scikit-learn.org/stable/modules/generated/sklearn.decomposition.non_negative_factorization.html