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sklearn.multiclass.OneVsOneClassifier — scikit-...
X_test , y_train , y_test = train_test_split ( ......sklearn.model_selection import train_test_split >>> from sklearn.multiclass...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html -
sklearn.model_selection.StratifiedKFold — sciki...
Provides train/test indices to split data in train/test sets. This..." ) ... print ( f " Test: index= { test_index } " ) Fold 0: Train:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html -
sklearn.model_selection.RepeatedKFold — scikit-...
print ( f " Test: index= { test_index } " ) ... Fold...index=[0 1] Test: index=[2 3] Fold 1: Train: index=[2 3] Test: index=[0...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
Tar Trap Caught | MetaFilter
valgrind complaint in automated testing of postgres, a few weeks earlier,...March 30 Injected through a test suite, I see. Clearly my failure...www.metafilter.com/203126/Tar-Trap-Caught -
plot_classifier_comparison.rst.txt
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/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
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 -
sklearn.model_selection.learning_curve — scikit...
( f "The average test accuracy is { cv_test_scores . mean ()...cross-validated training and test scores for different training...scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html -
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.linear_model.LassoCV — scikit-learn 1.4...
test) splits as arrays of indices....n_folds) Mean square error for the test set on each fold, varying alpha....scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html -
Innocent St. Louis family terrorized in SWAT ra...
kind of analytic multifactor test and they will fight tooth and...and nail to have that test not be exposed." From The Riverfront...boingboing.net/2024/03/25/innocent-st-louis-family-terrorized-in-swat-raid-over-stolen-airpods.html -
sklearn.datasets.fetch_species_distributions — ...
in degrees test record array, shape = (620,) The test points for...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_species_distributions.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/ -
sklearn.covariance.EllipticEnvelope — scikit-le...
the mean accuracy on the given test data and labels. score_samples...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.covariance.EllipticEnvelope.html -
preprocessing.rst.txt
K_{test} - 1'_{\text{n}_{samples}} K - K_{test} 1_{\text{n}_{samples}}...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42)...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
model_evaluation.rst.txt
ratio (pre-test and post-tests): .. math:: \text{post-test odds} =...\frac{\text{pre-test probability}}{1 - \text{pre-test probability}},...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
sklearn.covariance.GraphicalLassoCV — scikit-le...
score (X_test[, y]) Compute the log-likelihood of X_test under the...: X_test array-like of shape (n_samples, n_features) Test data...scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLassoCV.html -
sklearn.ensemble.GradientBoostingClassifier — s...
X_test = X [: 2000 ], X [ 2000 :] >>> y_train , y_test = y...y_train ) >>> clf . score ( X_test , y_test ) 0.913... Methods apply...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html -
sklearn.neural_network.MLPRegressor — scikit-le...
X_test , y_train , y_test = train_test_split ( X ,...-7.1...]) >>> regr . score ( X_test , y_test ) 0.4... Methods fit (X,...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
sklearn.naive_bayes.GaussianNB — scikit-learn 1...
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.GaussianNB.html -
sklearn.naive_bayes.BernoulliNB — 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.BernoulliNB.html