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4.1. Partial Dependence and Individual Conditio...
\mathbb{E}_{X_C}\left[ f(x_S, X_C) \right]\\ &= \int f(x_S, x_C) p(x_C)...dependence of the response \(f\) at a point \(x_S\) is defined...scikit-learn.org/stable/modules/partial_dependence.html -
sklearn.model_selection.StratifiedGroupKFold — ...
print ( f "Fold { i } :" ) ... print ( f " Train: index=...print ( f " Test: index= { test_index } " ) ... print ( f " group=...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
sklearn.model_selection.permutation_test_score ...
) >>> print ( f "Original Score: { score : .3f...Score: 0.810 >>> print ( ... f "Permutation Scores: { permutation_scores...scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
sklearn.model_selection.TimeSeriesSplit — sciki...
print ( f "Fold { i } :" ) ... print ( f " Train: index=...)): ... print ( f "Fold { i } :" ) ... print ( f " Train: index=...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html -
auto_examples_python.zip
randn(1000) f_test, _ = f_regression(X, y) f_test /= np.max(f_test)...with f_0, and negatively correlated with f_1 y = 5 * f_0 + np.sin(10...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
sklearn.model_selection.KFold — scikit-learn 1....
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.KFold.html -
1.16. Probability calibration — scikit-learn 1....
(y_i - \hat{f}_i)^2\] subject to \(\hat{f}_i \geq \hat{f}_j\) whenever...: \[p(y_i = 1 | f_i) = \frac{1}{1 + \exp(A f_i + B)} \,,\] where...scikit-learn.org/stable/modules/calibration.html -
model_evaluation.rst.txt
_precision_recall_f_measure_metrics: Precision, recall and F-measures...1_score>`_ (:math:`F_\beta` and :math:`F_1` measures) can be...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
sklearn.model_selection.ShuffleSplit — scikit-l...
print ( f "Fold { i } :" ) ... print ( f " Train: index=...)): ... print ( f "Fold { i } :" ) ... print ( f " Train: index=...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html -
sklearn.datasets.dump_svmlight_file — scikit-le...
data will be written to f. f should be opened in binary mode....dump_svmlight_file ( X , y , f , * , zero_based = True , comment...scikit-learn.org/stable/modules/generated/sklearn.datasets.dump_svmlight_file.html