MLflow v1.16.0 Release Notes
Release Date: 2021-04-22 // about 3 years ago-
MLflow 1.16.0 includes several major features and improvements:
๐ Features:
- โ Add
mlflow.pyspark.ml.autolog()
API for autologging ofpyspark.ml
estimators (#4228, @WeichenXu123) - Add
mlflow.catboost.log_model
,mlflow.catboost.save_model
,mlflow.catboost.load_model
APIs for CatBoost model persistence (#2417, @harupy) - 0๏ธโฃ Enable
mlflow.pyfunc.spark_udf
to use column names from model signature by default (#4236, @Loquats) - โ 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)
๐ Bug fixes and documentation updates:
- ๐ Fix a database migration error for PostgreSQL (#4211, @dolfinus)
- ๐ Fix autologging silent mode bugs (#4231, @dbczumar)
โก๏ธ 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)
- โ Add