opendataval.experiment.exper_methods

Experiments to test DataEvaluator.

Experiments pass into evaluate() and plot() evaluate performance of one DataEvaluator at a time.

Functions

discover_corrupted_sample(evaluator[, ...])	Evaluate discovery of noisy indices in low data value points.
increasing_bin_removal(evaluator[, fetcher, ...])	Evaluate accuracy after removing data points with data values above threshold.
noisy_detection(evaluator[, fetcher, indices])	Evaluate ability to identify noisy indices.
remove_high_low(evaluator[, fetcher, model, ...])	Evaluate performance after removing high/low points determined by data valuator.
save_dataval(evaluator[, fetcher, indices, ...])	Save the indices and the respective data values of the DataEvaluator.