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RadiusNeighborsClassifier — scikit-learn 1.7.0 ...
() array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) score (...[[ 0 ], [ 1 ], [ 2 ], [ 3 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>> from...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsClassifier.html -
Plot the decision surface of decision trees tra...
1 ], [ 0 , 2 ], [ 0 , 3 ], [ 1 , 2 ], [ 1 , 3 ], [ 2.... subplot ( 2 , 3 , pairidx + 1 ) plt . tight_layout ( h_pad =...scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.html -
NuSVC — scikit-learn 1.7.0 documentation
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...default=-1 Hard limit on iterations within solver, or -1 for no...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html -
RadiusNeighborsTransformer — scikit-learn 1.7.0...
() array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) set_output...who’s the closest point to [1, 1, 1]: >>> import numpy as np >>>...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsTransformer.html -
RBFSampler — scikit-learn 1.7.0 documentation
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...in version 1.2: The option "scale" was added in 1.2. n_components...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.RBFSampler.html -
GradientBoostingRegressor — scikit-learn 1.7.0 ...
1 , n_estimators = 100 , subsample = 1.0 , criterion...in the range [1, inf) . subsample float, default=1.0 The fraction...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html -
MultiTaskElasticNetCV — scikit-learn 1.7.0 docu...
[ 1 , 1 ], [ 2 , 2 ]], ... [[ 0 , 0 ], [ 1 , 1 ], [ 2 ,...with 0 < l1_ratio <= 1. For l1_ratio = 1 the penalty is an L1/L2...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNetCV.html -
PolynomialFeatures — scikit-learn 1.7.0 documen...
fit_transform ( X ) array([[ 1., 0., 1., 0., 0., 1.], [ 1., 2., 3., 4., 6.,...) array([[ 1., 0., 1., 0.], [ 1., 2., 3., 6.], [ 1., 4., 5., 20.]])...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
LeaveOneGroupOut — scikit-learn 1.7.0 documenta...
index=[0 1], group=[1 1] Fold 1: Train: index=[0 1], group=[1 1] Test:...array ([ 1 , 2 , 1 , 2 ]) >>> groups = np . array ([ 1 , 1 , 2 ,...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneGroupOut.html -
adjusted_rand_score — scikit-learn 1.7.0 docume...
1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> adjusted_rand_score...adjusted_rand_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings that...scikit-learn.org/stable/modules/generated/sklearn.metrics.adjusted_rand_score.html