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hamming_loss — scikit-learn 1.7.2 documentation
hamming_loss ( np . array ([[ 0 , 1 ], [ 1 , 1 ]]), np . zeros (( 2 ,...3(3), 1-13, July-September 2007. [ 2 ] Wikipedia entry on the Hamming...scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html -
ValidationCurveDisplay — scikit-learn 1.7.2 doc...
test_scores , score_name = "Score" ... ) >>> display . plot () <...> >>>...instance (e.g., GroupKFold ). cv int, cross-validation generator...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html -
MultinomialNB — scikit-learn 1.7.2 documentation
size = ( 6 , 100 )) >>> y = np . array ([ 1 , 2 , 3 , 4 , 5 , 6 ])...Press, pp. 234-265. https://nlp.stanford.edu/IR-book/html/html...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html -
NearestCentroid — scikit-learn 1.7.2 documentation
np . array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1...1 , 1 ], [ 2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 ,...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
LabelBinarizer — scikit-learn 1.7.2 documentation
transform ([ 0 , 1 , 2 , 1 ]) array([[1, 0, 0], [0, 1, 0], [0, 0, 1],...transform ([ 1 , 6 ]) array([[1, 0, 0, 0], [0, 0, 0, 1]]) Binary targets...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html -
KNeighborsClassifier — scikit-learn 1.7.2 docum...
KNeighborsClassifier(...) >>> print ( neigh . predict ([[ 1.1 ]])) [0] >>> print...boundary. algorithm {‘auto’, ‘ball_tree’, ‘kd_tree’, ‘brute’}, default=’auto’...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html -
KNeighborsRegressor — scikit-learn 1.7.2 docume...
KNeighborsRegressor(...) >>> print ( neigh . predict ([[ 1.5 ]])) [0.5] fit...regression . algorithm {‘auto’, ‘ball_tree’, ‘kd_tree’, ‘brute’}, default=’auto’...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html -
KBinsDiscretizer — scikit-learn 1.7.2 documenta...
>>> X = [[ - 2 , 1 , - 4 , - 1 ], ... [ - 1 , 2 , - 3 , - 0.5 ],...“hazen”, “weibull”, “linear”, “median_unbiased”, “normal_unbiased”},...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html -
MultiOutputRegressor — scikit-learn 1.7.2 docum...
of squares ((y_true - y_true.mean()) ** 2).sum() . The best possible...array([[176, 35.1, 57.1]]) fit ( X , y , sample_weight = None , **...scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputRegressor.html -
ES|QL for security use cases | Elastic Docs
Query Language (ES|QL) for cybersecurity use cases. Tutorials Threat...Loading Elastic Docs / Solutions and use cases / Security ES|QL for...www.elastic.co/docs/solutions/security/esql-for-security