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confusion_matrix_at_thresholds — scikit-l...
array([2., 1., 1., 0.]) >>> fps array([0., 1., 1., 2.])...>>> tps array([1., 1., 2., 2.]) >>> thresholds array([0.8...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix_at_thresholds.html -
Selecting the number of clusters with silhouett...
and 2 columns fig , ( ax1 , ax2 ) = plt . subplots ( 1 , 2 ) fig...ambivalent in deciding between 2 and 4. Also from the thickness...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.html -
RepeatedKFold — scikit-learn 1.8.0 docume...
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...RepeatedKFold ( n_splits = 2 , n_repeats = 2 , random_state = 2652124...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
3.1. Cross-validation: evaluating estimator per...
2 , 2 , 2 , 2 ] >>> groups = [ 1 , 1 , 2 , 2 , 3...)) [2 3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3]...scikit-learn.org/stable/modules/cross_validation.html -
Gradient Boosting regularization — scikit...
2, max_features=2" , "magenta"..."learning_rate" : 0.2 , "max_features" : 2 }, ), ]: params...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html -
spectral_clustering — scikit-learn 1.8.0 ...
[2] . Read more in the User Guide...be avoided. Added in version 1.2: Added ‘auto’ option. assign_labels...scikit-learn.org/stable/modules/generated/sklearn.cluster.spectral_clustering.html -
LeavePOut — scikit-learn 1.8.0 documentation
3] Test: index=[0 2] Fold 2: Train: index=[1 2] Test: index=[0...([ 1 , 2 , 3 , 4 ]) >>> lpo = LeavePOut ( 2 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePOut.html -
Multilabel classification — scikit-learn ...
subplot ( 2 , 2 , subplot ) plt . title ( title..."none" , linewidths = 2 , label = "Class 2" , ) plot_hyperplane...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multilabel.html -
trustworthiness — scikit-learn 1.8.0 docu...
defined as \[T(k) = 1 - \frac{2}{nk (2n - 3k - 1)} \sum^n_{i=1}...Should be fewer than n_samples / 2 to ensure the trustworthiness...scikit-learn.org/stable/modules/generated/sklearn.manifold.trustworthiness.html -
Sparse coding with a precomputed dictionary ...
) ** 2 / width ** 2 ) * np . exp ( - (( x - center ) ** 2 ) /.../ ( 2 * width ** 2 )) ) return x def ricker_matrix ( width , resolution...scikit-learn.org/stable/auto_examples/decomposition/plot_sparse_coding.html