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Comparison of kernel ridge regression and SVR &...
logspace ( - 2 , 2 , 5 )}, ) kr = GridSearchCV..., 1e-2 , 1e-3 ], "gamma" : np . logspace ( - 2 , 2 ,...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html -
NMF — scikit-learn 1.8.0 documentation
||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.NMF.html -
inplace_csr_row_normalize_l1 — scikit-lea...
2 , 3 ]) >>> data = np . array ([ 1.0 , 2.0 , 3.0...>>> indptr = np . array ([ 0 , 2 , 3 , 4 ]) >>> indices...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normaliz... -
auto_examples_jupyter.zip
- l / 2.0) ** 2 + (y - l / 2.0) ** 2 < (l / 2.0) ** 2\n mask...1,\n figsize=(4 * 2.2, n_classifiers * 2.2),\n)\nevaluation_results...scikit-learn.org/stable/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip -
manhattan_distances — scikit-learn 1.8.0 ...
2 ], [ 3 , 4 ]], [[ 1 , 2 ], [ 0 , 3 ]]) array([[0., 2.],...manhattan_distances ([[ 3 ]], [[ 2 ]]) array([[1.]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.manhattan_distances.html -
Factor Analysis (with rotation) to visualize pa...
2 , 3 ]) ax . set_xticklabels (...) ax . set_yticks ([ 0 , 1 , 2 , 3 ]) ax . set_yticklabels (...scikit-learn.org/stable/auto_examples/decomposition/plot_varimax_fa.html -
Release Highlights for scikit-learn 0.24 —...
2. From 1.2, use # PartialDependenceDis...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Gallery generated...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html -
One-class SVM with non-linear kernel (RBF) R...
2 ) X_train = np . r_ [ X + 2 , X - 2 ] # Generate...randn ( 20 , 2 ) X_test = np . r_ [ X + 2 , X - 2 ] # Generate...scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html -
pair_confusion_matrix — scikit-learn 1.8....
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 -
Iso-probability lines for Gaussian Processes cl...
0256**2 * DotProduct(sigma_0=5.72) ** 2 # Authors: The...[:, 1 ] - 0.5 * x [:, 0 ] ** 2.0 # Design of experiments X =...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_isoprobability.html