Torchfit

Latest version: v0.2.5

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0.2.5

New:
- N/A

Changed:
- Edits to tutorial

Fixed:
- removed extra loss computation during validation/testing

0.2.4

New:
- N/A

Changed:
- fixed image link in README

Fixed:
- N/A

0.2.3

New:
- N/A

Changed:
- changed `loss` to `criterion` in `Learner`

Fixed:
- N/A

0.2.2

New:
- added support for gradient clipping

Changed:
- re-factored steps in training to support subclassing `Learner` for custom overrides
- added warning about learning rate setting when user-configured scheduler is supplied to `fit`
- `fit` accepts custom learning rate schedulers

Fixed:
- N/A

0.2.1

New:
- Support lists of inputs (e.g., [text, offsets] for `EmbeddingBag`)
- Added `predict_example` method
- Added text classification example

Changed:
- N/A

Fixed:
- N/A

0.2.0

New:
- Added `gpus` parameter to `Learner` to enable multi-gpu training.
- Support lists of inputs (e.g., [text, offsets] for `EmbeddingBag`)

Changed:
- N/A

Fixed:
- N/A

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