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confusion_matrix — scikit-learn 1.7.1 documenta...
[ "ant" , "bird" , "cat" ]) array([[2, 0, 0], [0, 0, 1], [1, 0,...0 , 1 , 0 , 1 ], [ 1 , 1 , 1 , 0 ]) . ravel () . tolist () >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html -
7.7. Kernel Approximation — scikit-learn 1.7.1 ...
1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...\left(K_{21} U_1 \Lambda^{-1}\right)^T \\&= K_{21} U_1 (\Lambda^{-1} \Lambda)...scikit-learn.org/stable/modules/kernel_approximation.html -
2.1. Gaussian mixture models — scikit-learn 1.7...
finite mixture. 2.1.2.1. The Dirichlet Process # Here we describe...detailed below. 2.1.1. Gaussian Mixture # The GaussianMixture object...scikit-learn.org/stable/modules/mixture.html -
5.2. Permutation feature importance — scikit-le...
+/- 0.050 bmi 0.176 +/- 0.048 bp 0.088 +/- 0.033 sex 0.056 +/- 0.023...+/- { r . importances_std [ i ] : .3f } " ) ... s5 0.204 +/-...scikit-learn.org/stable/modules/permutation_importance.html -
1.8. Cross decomposition — scikit-learn 1.7.1 d...
follows: Set \(X_1\) to \(X\) and \(Y_1\) to \(Y\) . Then, for each...\(\text{Cov}(X_k u_k, Y_k v_k)\) . b) Project \(X_k\) and \(Y_k\) on the singular...scikit-learn.org/stable/modules/cross_decomposition.html -
OPTICS — scikit-learn 1.7.1 documentation
[‘cityblock’, ‘cosine’, ‘euclidean’, ‘l1’, ‘l2’, ‘manhattan’] from...‘chebyshev’, ‘correlation’, ‘dice’, ‘hamming’, ‘jaccard’, ‘kulsinski’,...scikit-learn.org/stable/modules/generated/sklearn.cluster.OPTICS.html -
Nystroem — scikit-learn 1.7.1 documentation
Nystroem ( gamma = .2 , ... random_state = 1 , ... n_components...LinearSVC() >>> clf . score ( data_transformed , y ) 0.9987... fit...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.Nystroem.html -
AffinityPropagation — scikit-learn 1.7.1 docume...
= np . array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ],...1, 1, 1]) >>> clustering . predict ([[ 0 , 0 ], [ 4 , 4 ]]) array([0,...scikit-learn.org/stable/modules/generated/sklearn.cluster.AffinityPropagation.html -
LeavePGroupsOut — scikit-learn 1.7.1 documentation
enumerate ( lpgo . split ( X , y , groups )): ... print ( f "Fold {...1 , 2 , 1 ]) >>> groups = np . array ([ 1 , 2 , 3 ]) >>> lpgo...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html -
pairwise_distances_chunked — scikit-learn 1.7.1...
array([[0. , 0.295, 0.417, 0.197, 0.572], [0.295, 0. , 0.576, 0.419, 0.764],...0.764], [0.417, 0.576, 0. , 0.449, 0.903], [0.197, 0.419, 0.449,...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_chunked.html