- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 21 - 30 of 255 for f (0.04 sec)
-
TimeSeriesSplit — scikit-learn 1.5.0 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.TimeSeriesSplit.html -
StratifiedGroupKFold — scikit-learn 1.5.0 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 -
mutual_info_regression — scikit-learn 1.5.0 doc...
Comparison of F-test and mutual information Comparison of F-test and...PLoS ONE 9(2), 2014. [ 4 ] L. F. Kozachenko, N. N. Leonenko, “Sample...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html -
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 -
DictVectorizer — scikit-learn 1.5.0 documentation
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 -
f1_score — scikit-learn 1.5.0 documentation
also known as balanced F-score or F-measure. The F1 score can...y_pred ), f-score is undefined. In such cases, by default f-score...scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html -
ShuffleSplit — scikit-learn 1.5.0 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 -
4.2. Permutation feature importance — scikit-le...
print ( f " { diabetes . feature_names [ i ] : <8 } " ... f " { r...print ( f " { diabetes . feature_names [ i ] : <8 } " ... f " { r...scikit-learn.org/stable/modules/permutation_importance.html -
StratifiedKFold — scikit-learn 1.5.0 documentation
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 -
Bunch — scikit-learn 1.5.0 documentation
] **F ) → None. Update D from dict/iterable E and F. # If E...is followed by: for k in F: D[k] = F[k] values ( ) → an object...scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html