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f_regression — scikit-learn 1.7.2 documentation
>>> f_statistic , p_values = f_regression ( X , y ) >>> f_statistic...version f_regression # sklearn.feature_selection. f_regression...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html -
f_classif — scikit-learn 1.7.2 documentation
) >>> f_statistic , p_values = f_classif ( X , y ) >>> f_statistic...Choose version f_classif # sklearn.feature_selection. f_classif (...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_classif.html -
gpt.js
||(f=m?13:5,f=n?f&-4097:f|4096);k&&f===g||(c=Pb(c),g=0,f=Lc(...f,e));f!==g&&G(c,f);e=N(d,e,b,c);2&f||!(4096&f||16&f)||Ec(d,e);return...securepubads.g.doubleclick.net/tag/js/gpt.js -
TimeSeriesSplit — scikit-learn 1.7.2 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 -
f1_score — scikit-learn 1.7.2 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 1.7.2 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 -
How to deploy NLP: Text embeddings and vector s...
in Jamaica is between 80 °F and 90 °F (27 °FCelsius-29 °Celsius)....20.28 kelvin (−252.87°C, −423.17 °F). Hydrogen is often stored in...www.elastic.co/search-labs/blog/how-to-deploy-nlp-text-embeddings-and-vector-search -
Bunch — scikit-learn 1.7.2 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 -
FeatureHasher — scikit-learn 1.7.2 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 -
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