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ShuffleSplit — scikit-learn 1.7.0 documentation
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 -
StratifiedGroupKFold — scikit-learn 1.7.0 docum...
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 -
5.1. 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 -
plot_release_highlights_1_6_0.rst.txt
y) print(f"Fitting the classifier took {(time.time()...threshold=0.9 ).fit(X, y) print( f"Fitting the threshold classifier...scikit-learn.org/stable/_sources/auto_examples/release_highlights/plot_release_highlights_1_6_0.r... -
plot_hgbt_regression.zip
print(f"Training sample size: {X_train.shape[0]}") print(f"Test...rint(f\"Test sample size: {X_test.shape[0]}\")\nprint(f\"Number...scikit-learn.org/stable/_downloads/ef504a3cb245a55fde178198c8218b4a/plot_hgbt_regression.zip -
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 -
MLPRegressor — scikit-learn 1.7.0 documentation
returns f(x) = x ‘logistic’, the logistic...logistic sigmoid function, returns f(x) = 1 / (1 + exp(-x)). ‘tanh’,...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
RepeatedStratifiedKFold — scikit-learn 1.7.0 do...
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.RepeatedStratifiedKFold.html -
preprocessing.rst.txt
formula :math:`G^{-1}(F(X))` where :math:`F` is the cumulative distribution...distribution function :math:`F` then :math:`F(X)` is uniformly distributed...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
FeatureHasher — scikit-learn 1.7.0 documentation
'run' : 5 }] >>> f = h . transform ( D ) >>> f . toarray () array([[..."bird" ]] >>> f = h . transform ( raw_X ) >>> f . toarray () array([[...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html