Version 0.2.3

[0.2.3] - 2018-10-12

Added

• Added string representation of Trial to give summary
• Added option to log Trial summary to TensorboardText
• Added a callback point ('on_checkpoint') which can be used for model checkpointing after the history ios updated

Changed

• When resuming training checkpointers no longer delete the state file the trial was loaded from
• Changed the metric eval to include a data_key which tells us what data we are evaluating on

Deprecated

Removed

Fixed

• Fixed a bug where callbacks weren't handled correctly in the predict and evaluate methods of Trial
• Fixed a bug where the history wasn't updated when new metrics were calculated with the evaluate method of Trial
• Fixed a bug where tensorboard writers couldn't be reused
• Fixed a bug where the none criterion didn't require gradient
• Fix bug where tqdm wouldn't get correct iterator length when evaluating on test generator
• Fixed a bug where evaluating before training tried to update history before it existed
• Fixed a bug where the metrics would output 'val_acc' even if evaluating on test or train data
• Fixed a bug where roc metric didn't detach y_pred before sending to numpy
• Fixed a bug where resuming from a checkpoint saved with one of the callbacks didn't populate the epoch number correctly