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feature_selection.rst.txt
we can use a F-test to retrieve the two best...sklearn.feature_selection import f_classif >>> X, y = load_iris(return_X_y=True)...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt -
sklearn.feature_extraction.DictVectorizer — sci...
one signifying “f=ham”, the other “f=spam”. If a feature...the feature names (e.g., “f=ham” and “f=spam”). See also FeatureHasher...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html -
sklearn.model_selection.validation_curve — scik...
) >>> print ( f "The average train accuracy is...accuracy is 0.81 >>> print ( f "The average test accuracy is...scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
sklearn.model_selection.StratifiedKFold — sciki...
print ( f "Fold { i } :" ) ... print ( f " Train: index=...train_index } " ) ... print ( f " Test: index= { test_index }...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html -
auto_examples_jupyter.zip
with f_0, and negatively correlated with f_1\ny = 5 * f_0 + np.sin(10...np.sin(10 * np.pi * f_0) - 5 * f_1 - np.cos(10 * np.pi * f_1) + noise"...scikit-learn.org/stable/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip -
plot_release_highlights_1_4_0.ipynb
decision_function(X_test)\nprint(f\"ROC AUC score is {roc_auc_score(y_test,..."outputs": [], "source": [ "print(f\"Output type: {type(df_out)}\")"...scikit-learn.org/stable/_downloads/53490cdb42c3c07ba8cccd1c4ed4dca4/plot_release_highlights_1_4_0... -
decomposition.rst.txt
F. Bach, J. Ponce, G. Sapiro, 2009..._ R. Jenatton, G. Obozinski, F. Bach, 2009 .. _kernel_PCA: Kernel...scikit-learn.org/stable/_sources/modules/decomposition.rst.txt -
sklearn.isotonic.IsotonicRegression — scikit-le...
the y = f(X) monotonic function. New in version 0.24. f_ function...values used to interpolate the y = f(X) monotonic function. New in...scikit-learn.org/stable/modules/generated/sklearn.isotonic.IsotonicRegression.html -
sklearn.gaussian_process.kernels.Hyperparameter...
in sorted ( params ): print ( f " { key } : { params [ key ] }...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Hyperparameter.html -
sklearn.model_selection.learning_curve — scikit...
print ( f " { train_size } samples were...train the model" ) ... print ( f "The average train accuracy is...scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html