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MLflow 1.18.0

· One min read
MLflow maintainers
MLflow maintainers
MLflow maintainers

We are happy to announce the availability of MLflow 1.18.0!

In addition to bug and documentation fixes, MLflow 1.18.0 includes the following features and improvements:

  • Autologging performance improvements for XGBoost, LightGBM, and scikit-learn (#4416, #4473, @dbczumar)
  • Add new PaddlePaddle flavor to MLflow Models (#4406, #4439, @jinminhao)
  • Introduce paginated ListExperiments API (#3881, @wamartin-aml)
  • Include Runtime version for MLflow Models logged on Databricks (#4421, @stevenchen-db)
  • MLflow Models now log dependencies in pip requirements.txt format, in addition to existing conda format (#4409, #4422, @stevenchen-db)
  • Add support for limiting the number child runs created by autologging for scikit-learn hyperparameter search models (#4382, @mohamad-arabi)
  • Improve artifact upload / download performance on Databricks (#4260, @dbczumar)
  • Migrate all model dependencies from conda to "pip" section (#4393, @WeichenXu123)

For a comprehensive list of changes, see the release change log, and check out the latest documentation on mlflow.org.