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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