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7.7. Kernel Approximation — scikit-learn ...
2. Radial Basis Function Kernel...is usually chosen to be 1 or 2, transforming the dataset to size...scikit-learn.org/stable/modules/kernel_approximation.html -
TransformerMixin — scikit-learn 1.8.0 doc...
2 ], [ 2 , 3 ], [ 3 , 4 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.base.TransformerMixin.html -
SVR — scikit-learn 1.8.0 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...for Support Vector Machines [ 2 ] Platt, John (1999). “Probabilistic...scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html -
Zusätzliche Wörter
Ab Zeile 2 werden die zusätzlichen Wörter...1 ist die Kopfzeile. Ab Zeile 2 beschreiben Sie die zusätzlichen...fess.codelibs.org/de/15.3/admin/elevateword-guide.html -
DummyRegressor — scikit-learn 1.8.0 docum...
2.0 , 3.0 , 4.0 ]) >>> y = np . array ([ 2.0 , 3.0...determination R^2 of the prediction. The coefficient R^2 is defined...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html -
ROC Curve with Visualization API — scikit...
return_X_y = True ) y = y == 2 X_train , X_test , y_train , y_test...n_classes * (n_classes - 1) / 2). However, note that internally,...scikit-learn.org/stable/auto_examples/miscellaneous/plot_roc_curve_visualization_api.html -
Memory Configuration
export FESS_HEAP_SIZE = 2 g Units: m : megabytes g : gigabytes.../etc/sysconfig/fess . FESS_HEAP_SIZE = 2 g For DEB packages, edit /etc/default/fess...fess.codelibs.org/15.3/config/setup-memory.html -
Get started with Open Source - IBM Developer
2 Reasoning and Vision models Build...image analysis with Granite 3.2 Reasoning and Vision models Build...developer.ibm.com/get-started/open-source/ -
Effect of model regularization on training and ...
n_jobs = 2 , score_type = "both"..."Validation Curve for ElasticNet (R$^2$ Score)" , xlabel = r "alpha...scikit-learn.org/stable/auto_examples/model_selection/plot_train_error_vs_test_error.html -
Detection error tradeoff (DET) curve — sc...
n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state...ax_det ] = plt . subplots ( 1 , 2 , figsize = ( 11 , 5 )) ax_roc...scikit-learn.org/stable/auto_examples/model_selection/plot_det.html