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The Dark Side of LED Lighting | MetaFilter
The best results from the tests, along with comparisons...database , based on actual tests of the lights instead of just...www.metafilter.com/203501/The-Dark-Side-of-LED-Lighting -
“members of the Voyager flight team celebrate” ...
affected portion of the build/test, it still takes a few minutes...minutes to spin up the VM to test a change. I can't imagine having...www.metafilter.com/203444/members-of-the-Voyager-flight-team-celebrate -
sklearn.model_selection.cross_val_predict — sci...
sample belongs to exactly one test set, and its prediction is computed...cross_val_score unless all tests sets have equal size and the...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_predict.html -
sklearn.multiclass.OneVsRestClassifier — scikit...
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.OneVsRestClassifier.html -
sklearn.feature_selection.mutual_info_regressio...
Comparison of F-test and mutual information Comparison of F-test and mutual...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html -
sklearn.datasets.make_regression — scikit-learn...
Train error vs Test error Train error vs Test error Effect of...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html -
sklearn.model_selection.cross_val_score — sciki...
IterativeImputer Nested versus non-nested cross-validation Nested versus...splitting the dataset into train/test set. Only used in conjunction...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html -
sklearn.model_selection.HalvingGridSearchCV — s...
cross-validated score of the best_estimator. best_params_ dict Parameter...that gave the best results on the hold out data. best_index_ int...scikit-learn.org/stable/modules/generated/sklearn.model_selection.HalvingGridSearchCV.html -
sklearn.covariance.LedoitWolf — scikit-learn 1....
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.LedoitWolf.html -
sklearn.ensemble.AdaBoostRegressor — scikit-lea...
n_features) Test samples. For some estimators...determine the prediction on a test set after each boost. Parameters...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html