Readability-transformers

Latest version: v0.3.1

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0.1.6

1. normalization = False works smoothly, except usually this leads to a poorly performing model.
2. python -m readability-transformers.reset_cache
3. Improvements for ResnetFC with more standard approaches
4. Added regression & classification head for these tasks
5. checks if train_metric actually requires the standard_errors parameter, whereas previously it just assumed it did and threw an error when using a train_metric that doesnt accept standard_errors

0.1.5

0.1.4

0.1.3

0.1.1

0.1

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