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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 -
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 -
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 -
Version 1.2 — scikit-learn 1.7.2 document...
2.2 # March 2023 Changelog # sklearn.base...GitHub Choose version Version 1.2 # For a short description of the...scikit-learn.org/stable/whats_new/v1.2.html -
2.5. Decomposing signals in components (matrix ...
o)}{2} ||H||_{\mathrm{Fro}} ^ 2) * n\_samples\] 2.5.7.2. NMF...2009 2.5.2. Kernel Principal Component Analysis (kPCA) # 2.5.2.1....scikit-learn.org/stable/modules/decomposition.html -
hinge_loss — scikit-learn 1.7.2 documenta...
>>> pred_decision array([-2.18, 2.36, 0.09]) >>> hinge_loss...], [ 2 ], [ 3 ]]) >>> Y = np . array ([ 0 , 1 , 2 , 3...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
StratifiedGroupKFold — scikit-learn 1.7.2...
index=[ 0 1 2 3 15 16] group=[1 1 2 2 8 8] Fold 2: Train: index=[...index=[ 0 1 2 3 7 8 9 10 11 15 16] group=[1 1 2 2 4 5 5 5 5 8...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
shuffle — scikit-learn 1.7.2 documentation
[2., 1.], [1., 0.]]) >>> y array([2, 1, 0]) >>>...= np . array ([[ 1. , 0. ], [ 2. , 1. ], [ 0. , 0. ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.shuffle.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