mlflow/mlflow v1.16.0

MLflow 1.16.0

on GitHub

MLflow 1.16.0 includes several major features and improvements:

Features:

• Add mlflow.pyspark.ml.autolog() API for autologging of pyspark.ml estimators (#4228, @WeichenXu123)
• Add mlflow.catboost.log_model, mlflow.catboost.save_model, mlflow.catboost.load_model APIs for CatBoost model persistence (#2417, @harupy)
• Enable mlflow.pyfunc.spark_udf to use column names from model signature by default (#4236, @Loquats)
• Add datetime data type for model signatures (#4241, @vperiyasamy)
• Add mlflow.sklearn.eval_and_log_metrics API that computes and logs metrics for the given scikit-learn model and labeled dataset. (#4218, @alkispoly-db)

Bug fixes and documentation updates:

• Fix a database migration error for PostgreSQL (#4211, @dolfinus)
• Fix autologging silent mode bugs (#4231, @dbczumar)

Small bug fixes and doc updates (#4255, #4252, #4254, #4253, #4242, #4247, #4243, #4237, #4233, @harupy; #4225, @dmatrix; #4206, @mlflow-automation; #4207, @shrinath-suresh; #4264, @WeichenXu123; #3884, #3866, #3885, @ankan94; #4274, #4216, @dbczumar)