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This PR adds a set of Samplers that can be used in the ModelTrainer:
The
ImbalancedClassificationDatasetSampler
will upsample rare classes and downsample common classes in a classification dataset. It may potentially help with imbalanced datasets.The two chunk samplers split a dataset into chunks and shuffle them. This preserves some ordering of the original data while also randomizing the data.