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GroupShuffleSplit — scikit-learn 1.7.0 document...
0: Train: index=[2 3 4 5 6 7], group=[2 2 2 3 3 3] Test: index=[0...3 3 3] Test: index=[2 3 4], group=[2 2 2] get_metadata_routing...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
make_blobs — scikit-learn 1.7.0 documentation
2) >>> y array([0, 1, 2, 0, 2, 2, 2, 1, 1, 0]) Gallery...shape ) (10, 2) >>> y array([0, 0, 1, 0, 2, 2, 2, 1, 1, 0]) >>>...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_blobs.html -
RepeatedStratifiedKFold — scikit-learn 1.7.0 do...
index=[1 2] Fold 2: Train: index=[1 3] Test: index=[0 2] Fold 3:...np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
Personal relationship responses to AI | MetaFilter
by Artful Codger at 2:08 PM on May 13 [ 2 favorites ] ”Mark Zuckerberg...posted by phooky at 2:22 PM on May 13 [ 2 favorites ] I actually...www.metafilter.com/208762/Personal-relationship-responses-to-AI -
OneHotEncoder — scikit-learn 1.7.0 documentation
Features with 1 or more than 2 categories are left intact. array...(CSR) format. Added in version 1.2: sparse was renamed to sparse_output...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html -
mean_tweedie_deviance — scikit-learn 1.7.0 docu...
y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2. ] >>>...>= 0 and y_pred > 0. 1 < p < 2 : Compound Poisson distribution....scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
LinearDiscriminantAnalysis — scikit-learn 1.7.0...
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi... -
HashingVectorizer — scikit-learn 1.7.0 document...
2) means unigrams and bigrams, and (2, 2) means only...n_features is large enough (e.g. 2 ** 18 for text classification...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.HashingVectorizer.html -
VotingClassifier — scikit-learn 1.7.0 documenta...
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html -
roc_curve — scikit-learn 1.7.0 documentation
2 , 2 ]) >>> scores = np . array ([...Returns : fpr ndarray of shape (>2,) Increasing false positive rates...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html