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trustworthiness — scikit-learn 1.8.0 documentation
1]. It is defined as \[T(k) = 1 - \frac{2}{nk (2n...(2n - 3k - 1)} \sum^n_{i=1} \sum_{j \in \mathcal{N}_{i}^{k}}...scikit-learn.org/stable/modules/generated/sklearn.manifold.trustworthiness.html -
lars_path_gram — scikit-learn 1.8.0 documentation
the case method=’lasso’ is: ( 1 / ( 2 * n_samples )) * || y -...equation (see discussion in [1] ). Read more in the User Guide...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path_gram.html -
smacof — scikit-learn 1.8.0 documentation
n_iter will change from 8 to 1 in version 1.9. n_jobs int, default=None...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.manifold.smacof.html -
v_measure_score — scikit-learn 1.8.0 documentation
1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> v_measure_score...v_measure_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings that...scikit-learn.org/stable/modules/generated/sklearn.metrics.v_measure_score.html -
StandardScaler — scikit-learn 1.8.0 documentation
( data )) [[-1. -1.] [-1. -1.] [ 1. 1.] [ 1. 1.]] >>> print (...0 , 0 ], [ 0 , 0 ], [ 1 , 1 ], [ 1 , 1 ]] >>> scaler = StandardScaler...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html -
RFECV — scikit-learn 1.8.0 documentation
ranking_ array([1, 1, 1, 1, 1, 6, 4, 3, 2, 5]) For a detailed...estimator , * , step = 1 , min_features_to_select = 1 , cv = None , scoring...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html -
ExtraTreesClassifier — scikit-learn 1.8.0 docum...
[{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.ensemble.ExtraTreesClassifier.html -
silhouette_samples — scikit-learn 1.8.0 documen...
The best value is 1 and the worst value is -1. Values near 0 indicate...2 <= n_labels <= n_samples - 1 . This function returns the Silhouette...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_samples.html -
ColumnTransformer — scikit-learn 1.8.0 document...
1. , 2. , 2. ], ... [ 1. , 1. , 0. , 1. ]]) >>> #...scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html -
label_ranking_loss — scikit-learn 1.8.0 documen...
1 ], [ 1 , 0.2 , 0.1 ]] >>> label_ranking_loss...label_ranking_loss >>> y_true = [[ 1 , 0 , 0 ], [ 0 , 0 , 1 ]] >>> y_score = [[...scikit-learn.org/stable/modules/generated/sklearn.metrics.label_ranking_loss.html