0.1.6 Bug Fixes & Prediction Improvements

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 bug fix on inference and normalization

inference side and normalization bug fixes

0.1.4 full end to end + trf feature extraction

v0.1.4

0.1.3 New Prediction Res Dropout

added resfs

0.1.1 added resources init.py

resources

0.1 with bug fixes and model pulling from online db

added feature: pulling model from online database

0.0.8 Install Requires

setup.py didnt have commas

0.0.7 install requires

install requires for extra feeatures

0.0.6 install requires

install requires for extra feeatures

0.0.5 More Feature Extraction + Actual batching in predict

prediction actually usees batch and added feature extraction & more t…