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xz-utils backdoor situation · GitHub
There are crafted test files in the tests/ folder within the...package: if test -f "$srcdir/debian/rules" || test "x$RPM_ARCH"...gist.github.com/thesamesam/223949d5a074ebc3dce9ee78baad9e27 -
sklearn.naive_bayes.ComplementNB — scikit-learn...
classification on an array of test vectors X. predict_joint_log_proba...probability estimates for the test vector X. predict_log_proba...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html -
sklearn.model_selection.cross_validate — scikit...
this dict are: test_score The score array for test scores on each..._score in test_score changes to a specific metric like test_r2 or...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html -
plot_classifier_comparison.py
and test part X, y = ds X_train, X_test, y_train, y_test = train_test_split(...Plot the testing points ax.scatter( X_test[:, 0], X_test[:, 1],...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
sklearn.model_selection.validation_curve — scik...
print ( f "The average test accuracy is { test_scores . mean () :...curve. Determine training and test scores for varying parameter...scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
sklearn.ensemble.AdaBoostClassifier — scikit-le...
achieving a lower test error with fewer boosting iterations....the mean accuracy on the given test data and labels. set_fit_request...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html -
sklearn.calibration.CalibratedClassifierCV — sc...
and calibrates it using the testing subset. For prediction, predicted...An iterable yielding (train, test) splits as arrays of indices....scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html -
sklearn.multiclass.OutputCodeClassifier — sciki...
the mean accuracy on the given test data and labels. set_params...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html -
sklearn.datasets.fetch_20newsgroups — scikit-le...
‘test’ for the test set, ‘all’ for both,...on a Text Dataset Semi-supervised Classification on a Text Dataset...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html -
sklearn.svm.SVC — scikit-learn 1.4.2 documentation
cross-validation Nested versus non-nested cross-validation Nested versus...following example: Nested versus non-nested cross-validation Read...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html -
sklearn.model_selection.LearningCurveDisplay — ...
test_scores = test_scores , score_name =...train_sizes , train_scores , test_scores , score_name = None )...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LearningCurveDisplay.html -
sklearn.datasets.fetch_20newsgroups_vectorized ...
‘test’ for the test set, ‘all’ for both,...Parameters : subset {‘train’, ‘test’, ‘all’}, default=’train’ Select...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups_vectorized.html -
6.3. Preprocessing data — scikit-learn 1.4.2 do...
X_test , y_train , y_test = train_test_split ( X ,...score ( X_test , y_test ) # apply scaling on testing data, without...scikit-learn.org/stable/modules/preprocessing.html -
sklearn.base.ClassifierMixin — scikit-learn 1.4...
the mean accuracy on the given test data and labels. score ( X ,...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.base.ClassifierMixin.html -
AI bots hallucinate software packages and devs ...
rather than being a benign test, the results could have been...development – persist over time and to test whether invented package names...www.theregister.com/2024/03/28/ai_bots_hallucinate_software_packages/ -
sklearn.feature_selection.f_regression — scikit...
Comparison of F-test and mutual information Comparison of F-test and mutual...Univariate linear regression tests returning F-statistic and p-values....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html -
sklearn.preprocessing.minmax_scale — scikit-lea...
splitting into training and test sets. This will bias the model...information would have leaked from the test set to the training set. In...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html -
145 Secret File :: Quicker, easier and cheaper ...
it alone works How to test Don’t test me IO # Input Output 0...tinytapeout.com/runs/tt02/145/ -
3.1. Cross-validation: evaluating estimator per...
available data as a test set X_test, y_test . Note that the word...X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/modules/cross_validation.html -
feature_selection.rst.txt
the best features based on univariate statistical tests. It can...we can use a F-test to retrieve the two best features for a dataset...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt