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2.3. Clustering — scikit-learn 1.7.2 docu...
2 , 2 , 2 , 2 ] >>> metrics ....labels_pred = [ 1 , 1 , 0 , 0 , 2 , 2 , 2 , 2 ] >>> metrics ....scikit-learn.org/stable/modules/clustering.html -
2.2. Manifold learning — scikit-learn 1.7...
scikit-learn are summarized below 2.2.2. Isomap # One of the earliest...Ctrl + K GitHub Choose version 2.2. Manifold learning # Look for...scikit-learn.org/stable/modules/manifold.html -
5.2. Permutation feature importance — sci...
2.2. Relation to impurity-based importance...Ctrl + K GitHub Choose version 5.2. Permutation feature importance...scikit-learn.org/stable/modules/permutation_importance.html -
2.1. Gaussian mixture models — scikit-lea...
2.1.2. Variational Bayesian Gaussian...models using a finite mixture. 2.1.2.1. The Dirichlet Process # Here...scikit-learn.org/stable/modules/mixture.html -
2.4. Biclustering — scikit-learn 1.7.2 do...
as follows: \[A_n = R^{-1/2} A C^{-1/2}\] Where \(R\) is the diagonal...\begin{bmatrix} R^{-1/2} U \\\\ C^{-1/2} V \end{bmatrix}\end{split}\]...scikit-learn.org/stable/modules/biclustering.html -
7.2. Feature extraction — scikit-learn 1....
2.0986]}{\sqrt{\big(3^2 + 0^2 + 2.0986^2\big)}} = [...one_image , ( 2 , 2 )) >>> patches . shape (9, 2, 2, 3) >>>...scikit-learn.org/stable/modules/feature_extraction.html -
2.8. Density Estimation — scikit-learn 1....
[ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...the distribution of points. 2.8.2. Kernel Density Estimation #...scikit-learn.org/stable/modules/density.html -
3.2. Tuning the hyper-parameters of an estimato...
17 // 2 = 8 24 * 2 = 48 8 // 2 = 4 48 * 2 = 96 4 // 2 = 2 We can...(=n_candidates) 3 * 2 = 6 70 // 2 = 35 6 * 2 = 12 35 // 2 = 17 12 * 2 = 24 17...scikit-learn.org/stable/modules/grid_search.html -
confusion_matrix — scikit-learn 1.7.2 doc...
>>> y_true = [ 2 , 0 , 2 , 2 , 0 , 1 ] >>> y_pred...y_pred = [ 0 , 0 , 2 , 2 , 0 , 2 ] >>> confusion_matrix...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html -
BaseEstimator — scikit-learn 1.7.2 docume...
{'param': 2} >>> X = np . array ([[ 1 , 2 ], [ 2 , 3 ],...y ) . predict ( X ) array([2, 2, 2]) >>> estimator ....scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html