Release History

Release notes for major lightsaber releases are linked in this page

v0.3.0

Highlights

• upgraded pytorch_lightning to version 1.6.4
• updated test script, api largely backported
• Updated example for LSTM/HistGBT

Changes in API:

• pl_trainer.run_training_with_mlflow:

• Call Signature updated

  • dataloaders can be now passed directly here instead of in wrapped model
  • instead of instantiated trainer, arguments supported by pytorch lightning Trainer is passed as Namespace/ArgumentParser

• Return type updated. validation/test input and outputs (e.g. y_val, y_pred) are now numpy not torch tensors

v0.2.6

• added test data generator
• added new test cases for classification in ./tests/Test_Classification_*.ipynb
• bug fixes: make feat_columns specification more fault tolerant w.r.t. time_order_col

v0.2.5

• bug fixes from v0.1
• added sk_trainer example
• added new test case in ./tests/test_dataset.py
• better mlflow support - model trainings now return run id