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12. Dispatching — scikit-learn 1.7.1 documentation
support (experimental) 12.1.1. Example usage 12.1.2. Support...Ctrl + K GitHub Choose version 12. Dispatching # 12.1. Array...scikit-learn.org/stable/dispatching.html -
RadiusNeighborsClassifier — scikit-learn 1.7.1 ...
RadiusNeighborsClass(...) >>> print ( neigh . predict ([[ 1.5 ]])) [0] >>> print...{‘auto’, ‘ball_tree’, ‘kd_tree’, ‘brute’}, default=’auto’ Algorithm...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsClassifier.html -
load_iris — scikit-learn 1.7.1 documentation
data . target [[ 10 , 25 , 50 ]] array([0, 0, 1]) >>> list ( data...data . target_names ) [np.str_('setosa'), np.str_('versicolor'),...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html -
sklearn.metrics — scikit-learn 1.7.1 documentation
Hamming loss. hinge_loss Average hinge loss (non-regularized). jaccard_score...regression loss. r2_score \(R^2\) (coefficient of determination) regression...scikit-learn.org/stable/api/sklearn.metrics.html -
1.7. Gaussian Processes — scikit-learn 1.7.1 do...
one-versus-one. 1.7.3. GPC examples # 1.7.3.1. Probabilistic predictions...variance \(\text{Var}[f_*]\) described in Eqs. (3.21) and (3.24) of...scikit-learn.org/stable/modules/gaussian_process.html -
precision_recall_curve — scikit-learn 1.7.1 doc...
66666667, 0.5 , 1. , 1. ]) >>> recall array([1. , 1. , 0.5, 0.5, 0....0. ]) >>> thresholds array([0.1 , 0.35, 0.4 , 0.8 ]) Gallery...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html -
normalized_mutual_info_score — scikit-learn 1.7...
fo_score ([ 0 , 0 , 1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> norm...fo_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 If classes...scikit-learn.org/stable/modules/generated/sklearn.metrics.normalized_mutual_info_score.html -
mutual_info_score — scikit-learn 1.7.1 document...
= [ 0 , 1 , 1 , 0 , 1 , 0 ] >>> labels_pred = [ 0 , 1 , 0 , 0...switching \(U\) (i.e label_true ) with \(V\) (i.e. label_pred ) will...scikit-learn.org/stable/modules/generated/sklearn.metrics.mutual_info_score.html -
about.rst.txt
utors>`__. Active Core Contributors ---------- Maintainers Team...<contributing>`. Documentation Team .......... The following people...scikit-learn.org/stable/_sources/about.rst.txt -
Pipeline — scikit-learn 1.7.1 documentation
'scaler' , StandardScaler ()), ( 'svc' , SVC ())]) >>> # The...train_test_split ( X , y , ... random_state = 0 ) >>> pipe = Pipeline ([( 'scaler'...scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html