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make_blobs — scikit-learn 1.8.0 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Plot the...2) >>> y array([0, 0, 1, 0, 2, 2, 2, 1, 1, 0]) >>> X , y = make_blobs...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_blobs.html -
Lasso — scikit-learn 1.8.0 documentation
1 ) >>> clf . fit ([[ 0 , 0 ], [ 1 , 1 ], [ 2 , 2...2 ]], [ 0 , 1 , 2 ]) Lasso(alpha=0.1) >>> print ( clf . coef_...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html -
AgglomerativeClustering — scikit-learn 1.8.0 do...
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...clustering . labels_ array([1, 1, 1, 0, 0, 0]) For a comparison...scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html -
d2_brier_score — scikit-learn 1.8.0 documentation
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 -
class_likelihood_ratios — scikit-learn 1.8.0 do...
1 , 0 , 1 , 0 ], [ 1 , 1 , 0 , 0 , 0 ]) (1.5, 0.75)...LR+ ranges from 1.0 to infinity. A LR+ of 1.0 indicates that...scikit-learn.org/stable/modules/generated/sklearn.metrics.class_likelihood_ratios.html -
LinearRegression — scikit-learn 1.8.0 documenta...
([[ 1 , 1 ], [ 1 , 2 ], [ 2 , 2 ], [ 2 , 3 ]]) >>> # y = 1 * x_0...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html -
RadiusNeighborsTransformer — scikit-learn 1.8.0...
() 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 -
ExtraTreeClassifier — scikit-learn 1.8.0 docume...
[{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 -
permutation_importance — scikit-learn 1.8.0 doc...
permutation_importance >>> X = [[ 1 , 9 , 9 ],[ 1 , 9 , 9 ],[ 1 , 9 , 9 ], ... [...],[ 0 , 9 , 9 ]] >>> y = [ 1 , 1 , 1 , 0 , 0 , 0 ] >>> clf = LogisticRegression...scikit-learn.org/stable/modules/generated/sklearn.inspection.permutation_importance.html -
Nystroem — scikit-learn 1.8.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...all strings. Added in version 1.0. See also AdditiveChi2Sampler...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.Nystroem.html