Ride

Fixed
- Pass args correctly to trainer during testing.

Changed
- CheckpointEveryNSteps now included in ModelCheckpoint c.f. pl==1.3.
- Import from torchmetrics instead of pl.metrics .
- Moved confusion matrix to RideClassificationDataset and updated plot.

Added
- Feature extraction and visualisation.
- Lifecycle and Finetuneable mixins always included via RideModule.
- Support for pytorch-lightning==1.3.
- Additional tests: Coverage is now at 92%.

Removed
- Support for nested inheritance of RideModule.
- Support for pytorch-lightning==1.2.

Fixed
- Project dependencies: removed click and added psutil to requirements.
- Logging: Save stdout and stderr to run.log.

Changed
- Logged results names. Flattened folder structure and streamlines names.

Added
- Docstrings to remaining core classes.
- Tests that logged results exists.

Added
- Add support for namedtuples in dataset `input_shape` and `output_shape`.
- Add tests for test_enemble.
- Expose more classes via `from ride import XXX`.
- Fix import-error in hparamsearch.
- Fix issues in metrics and add tests.
- Remove unused cache module.

Change
- Renamed `Dataset` to `RideDataset`.

Added
- Documentation for getting started, the Ride API, and a general API reference.
- Automatic import of `SgdOptimizer`.

Change
- Renamed `Dataset` to `RideDataset`.

Added
- Initial publicly available implementation of the library.