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brier_score_loss — scikit-learn 1.5.2 documenta...
Gallery examples: Probability Calibration curves Probability calibration of classifiersscikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html -
Illustration of Gaussian process classification...
2 ) Y = np . logical_xor ( X [:,...DotProduct ( sigma_0 = 1.0 ) ** 2 ] for i , kernel in enumerate...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_xor.html -
pair_confusion_matrix — scikit-learn 1.5.2 docu...
2 ], [ 0 , 0 , 1 , 1 ]) array([[8, 2], [0, 2]]... Note...confusion matrix \(C\) computes a 2 by 2 similarity matrix between two...scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.pair_confusion_matrix.html -
Comparing different hierarchical linkage method...
xlim ( - 2.5 , 2.5 ) plt . ylim ( - 2.5 , 2.5 ) plt . xticks..."n_clusters" : 2 }), ( noisy_moons , { "n_clusters" : 2 }), ( varied...scikit-learn.org/stable/auto_examples/cluster/plot_linkage_comparison.html -
t-SNE: The effect of various perplexity values ...
n_samples = 150 n_components = 2 ( fig , subplots ) = plt . subplots.... scatter ( X [:, 0 ], X [:, 2 ], c = color ) ax . xaxis . set_major_formatter...scikit-learn.org/stable/auto_examples/manifold/plot_t_sne_perplexity.html -
Probability Calibration for 3-class classificat...
x ) / 2 ], [ 0 , 0 + ( 1 - x ) / 2 ], "k" , alpha = 0.2 ) plt...x ) / 2 ], [ 0 , 0 + ( 1 - x ) / 2 ], "k" , alpha = 0.2 ) plt...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_multiclass.html -
inplace_swap_row — scikit-learn 1.5.2 documenta...
2 , 3 , 3 , 3 ]) >>> indices = np . array ([ 0 , 2 , 2 ])...>>> data = np . array ([ 8 , 2 , 5 ]) >>> csr = sparse . csr_matrix...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_row.html -
Plot class probabilities calculated by the Voti...
2 , - 1.4 ], [ - 3.4 , - 2.2 ], [ 1.1 , 1.2 ]]) y = np...np . array ([ 1 , 1 , 2 , 2 ]) eclf = VotingClassifier ( estimators...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_probas.html -
inplace_csr_column_scale — scikit-learn 1.5.2 d...
2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5 ]) >>>...>>> scale = np . array ([ 2 , 3 , 2 ]) >>> csr = sparse . csr_matrix...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_csr_column_scale.html -
non_negative_factorization — scikit-learn 1.5.2...
||H||_{Fro}^2\end{aligned}\end{align} \] Where: \(||A||_{Fro}^2 = \sum_{i,j}...array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...scikit-learn.org/stable/modules/generated/sklearn.decomposition.non_negative_factorization.html