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make_moons — scikit-learn 1.7.2 documentation
) The integer labels (0 or 1) for class membership of each...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html -
2.3. Clustering — scikit-learn 1.7.2 documentation
1 , 1 , 1 ] >>> labels_pred = [ 0 , 0 , 1 , 1 , 2 , 2...0 , 0 , 1 , 1 , 1 ] >>> labels_pred = [ 0 , 0 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/clustering.html -
adjusted_rand_score — scikit-learn 1.7.2 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 -
average_precision_score — scikit-learn 1.7.2 do...
1 , 1 ]) >>> y_scores = np . array ([ 0.1 , 0.4 , 0.35..., 0.1 ], ... [ 0.4 , 0.3 , 0.3 ], ... [ 0.1 , 0.8 , 0.1 ], ......scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html -
pairwise_distances_argmin — scikit-learn 1.7.2 ...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...deprecated from SciPy 1.9 and will be removed in SciPy 1.11. Note 'matching'...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_argmin.html -
f_classif — scikit-learn 1.7.2 documentation
n_clusters_per_class = 1 , ... shuffle = False , random_state...f_statistic array([2.21e+02, 7.02e-01, 1.70e+00, 9.31e-01, 5.41e+00, 3.25e-01,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_classif.html -
1.11. Ensembles: Gradient boosting, random fore...
Gradient Boosting models 1.11.1.1.1. Usage # Most of the parameters...= [[ 1 , 0 ], ... [ 1 , 0 ], ... [ 1 , 0 ], ... [ 0 , 1 ]] >>>...scikit-learn.org/stable/modules/ensemble.html -
2.8. Density Estimation — scikit-learn 1.7.2 do...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...\(x_i; i=1, \cdots, N\) is given by: \[\rho_K(y) = \sum_{i=1}^{N}...scikit-learn.org/stable/modules/density.html -
train_test_split — scikit-learn 1.7.2 documenta...
1 3.5 1.4 0.2 1 4.9 3.0 1.4 0.2 2 4.7 3.2 1.3 0.2 3 4.6...4.2 1.3 105 7.6 3.0 6.6 2.1 66 5.6 3.0 4.5 1.5 0 5.1 3.5 1.4 0.2...scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html -
mean_poisson_deviance — scikit-learn 1.7.2 docu...
with the power parameter power=1 . Read more in the User Guide...mean_poisson_deviance >>> y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html