Quadra

Updated

- Update `mlflow` requirements for `mlflow-skinny` package to align with the same version of main `mlflow` package.

Updated

- Update pandas requirements to use a more recent version and avoid slow build time when python 3.10 is used.

Added

- Add batch_size_finder callback for lightning based models (disabled by default).
- Add automatic_batch_size parameter to sklearn based training tasks (disabled by default).
- Add automatic_batch_size decorator to automatically fix the batch size of test functions for evaluation tasks if any out of memory error occurs.
- Add --mock-training flag for tests to skip running the actual training and just run the test.

Fixed

- Fix lightning based tasks not working properly when no checkpoint was provided.
- Fix list and dict config not handled properly as input_shapes parameter.

Updated

- Greatly reduce the dimension of test datasets to improve testing speed.

Updated

- Make `disable` a quadra reserved keyword for all callbacks, to disable a callback just set it to `disable: true` in the configuration file.

Fixed

- Fix test classification task crash when only images with no labels are used.

Added

- Add optional `training_threshold_type` for anomaly detection inference task.
Changed

- Compute results using the training image threshold instead of zero when running anomaly inference with no labelled data.

Fixed

- Fix generic classification experiment crashing due to missing class to index configuration.