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MLflow v1.17.0 Release Notes

Release Date: 2021-05-07 // almost 3 years ago

  • MLflow 1.17.0 includes several major features and improvements:

    🔋 Features:

    • ➕ Add support for hyperparameter-tuning models to mlflow.pyspark.ml.autolog() (#4270, @WeichenXu123)

    🐛 Bug fixes and documentation updates:

    • 🛠 Fix PyTorch Lightning callback definition for compatibility with PyTorch Lightning 1.3.0 (#4333, @dbczumar)
    • 🛠 Fix a bug in scikit-learn autologging that omitted artifacts for unsupervised models (#4325, @dbczumar)
    • 👌 Support logging datetime.date objects as part of model input examples (#4313, @vperiyasamy)
    • Implement HTTP request retries in the MLflow Java client for 500-level responses (#4311, @dbczumar)
    • Include a community code of conduct (#4310, @dennyglee)

    ⚡️ Small bug fixes and doc updates (#4276, #4263, @WeichenXu123; #4289, #4302, #3599, #4287, #4284, #4265, #4266, #4275, #4268, @harupy; #4335, #4297, @dbczumar; #4324, #4320, @tleyden)