Flambe

Bug fixes

* Flambe is now fully compatible with torch 1.3
* We fixed a bug where some modules containing `torch.nn.Module` were not correctly serialized.

New features

- Support for args and kwargs in `Script` (191 )
- Added `RAdam` optimizer (195)

Bug fixes

- **[BACKWARDS INCOMPATIBLE CHANGE]** The `Trainer` `extra_validation_metrics` is now a dict instead of a list (198 )

Other

- Improved linking error message (182)

New Features
--------------
- Updated integration of the `transformers` library. Instead of a having a series of objects for each type of Transformer model, there are now only two: `PretrainedTransformerField` and `PretrainedTransformerEmbedder` which support aliases from any type of Transformer model. This should ensure that the integration does not need to be updated when new models are added in the `transformers` library.

Bug Fixes
----------
- Fixed a bug where the Trainer could run out of training batches
- The `TabularDataset.from_path` class method now correctly supports paths which use `smartopen`

Breaking Changes
------------------
- All objects from the older `transformers` library integration have been removed.

New features
* **New debugging experience**. `debug` is not a parameter of the `Experiment` anymore. The user just needs to execute `flambe config.yaml -d` (173)
* Now uploading heavyweight resource or extensions will generate a stdout warning (174)
* We now run on the ray `0.7.6` (https://github.com/asappresearch/flambe/pull/172)
* We are now compatible with Python `3.7`.

Bug fixes
* Fixed a bug in `AvgPooling` (thanks ciguaran-asapp , https://github.com/asappresearch/flambe/pull/165)
* Fixed an issue where resources with the same directory name would conflict in remote experiment (158 )

New features

- New resources notation (no more `local` or `remote`, introducing new `!cluster` tag). (134 )
- Removed the automatic debugger per block when `debug=True`. Now is up to the user to put the breakpoints (151 )
- Added `WarmupLinearScheduler` and `NoamScheduler` (124)
- No more special installations (`pip install flambe[cuda]`) for GPU support. The base pip installable already supports GPU/CPU. (125 )
- Added `BPC` metric and `PTB` dataset. (126)
- Requirements are more spefic now following `~=` notation to avoid unexpected backwards incompatible changes (129)
- Added `F1` metric (133, thanks ciguaran-asapp )

Bug fixes
- Fixed a bug that was not allowing links to be specified in lists (132)
- A bug was fixed that was not allowing the EC2 to run tensorboard. (128)
- Fixed a bug that was removing output directories (136)