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pydata-sphinx-theme.js
align-baseline";const f=document.createElement("i");p.append(f),f.classList="fa-solid...theme.`),m.onchange="auto"==e?h:""}function f(){const e=document.documentEl...scikit-learn.org/stable/_static/scripts/pydata-sphinx-theme.js -
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 -
StratifiedGroupKFold — scikit-learn 1.7.1 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_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 -
3.4. Metrics and scoring: quantifying the quali...
The F-measure ( \(F_\beta\) and \(F_1\) measures) can...score, also known as balanced F-score or F-measure. fbeta_score (y_true,...scikit-learn.org/stable/modules/model_evaluation.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 1.7.1 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 -
plot_hgbt_regression.rst.txt
print(f"Training sample size: {X_train.shape[0]}") print(f"Test...size: {X_test.shape[0]}") print(f"Number of features: {X_train.shape[1]}")...scikit-learn.org/stable/_sources/auto_examples/ensemble/plot_hgbt_regression.rst.txt -
RepeatedStratifiedKFold — scikit-learn 1.7.1 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