add validation option to TrainDataset #3067
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lostella
reviewed
Dec 1, 2023
| @@ -427,6 +433,7 @@ def __call__(self, data: DataEntry) -> DataEntry: | |||
| def load_datasets( | |||
| metadata: Path, | |||
| train: Path, | |||
| validation: Optional[Path], | |||
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This is breaking the tests I think
|
Hey @melopeo, could you maybe update the OP to explain the motivation behind this? For example, why would one want to fix the validation data, when that could be considered a degree of freedom (some ways of setting it up may be better than others in some use cases; how to do that best may even depend on whether you use it for say model tuning vs early stopping) |
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Description of changes:
TrainDatasets currently have only fields for train and test datasets. In this commit we add the optional case for validation dataset.
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Please tag this pr with at least one of these labels to make our release process faster: BREAKING, new feature, bug fix, other change, dev setup