MLflow v1.30.0 Release Notes
Release Date: 2022-10-19 // 11 months ago-
MLflow 1.30.0 includes several major features and improvements
๐ Features:
- ๐ [Pipelines] Introduce hyperparameter tuning support to MLflow Pipelines (#6859, @prithvikannan)
- ๐ [Pipelines] Introduce support for prediction outlier comparison to training data set (#6991, @jinzhang21)
- ๐ [Pipelines] Introduce support for recording all training parameters for reproducibility (#7026, #7094, @prithvikannan)
- ๐ [Pipelines] Add support for
Delta
tables as a datasource in the ingest step (#7010, @sunishsheth2009) - ๐ [Pipelines] Add expanded support for data profiling up to 10,000 columns (#7035, @prithvikanna)
- ๐ [Pipelines] Add support for AutoML in MLflow Pipelines using FLAML (#6959, @mshtelma)
- ๐ง [Pipelines] Add support for simplified transform step execution by allowing for unspecified configuration (#6909, @apurva-koti)
- [Pipelines] Introduce a data preview tab to the transform step card (#7033, @prithvikannan)
- [Tracking] Introduce
run_name
attribute forcreate_run
,get_run
andupdate_run
APIs (#6782, #6798 @apurva-koti) - [Tracking] Add support for searching by
creation_time
andlast_update_time
for thesearch_experiments
API (#6979, @harupy) - [Tracking] Add support for search terms
run_id IN
andrun ID NOT IN
for thesearch_runs
API (#6945, @harupy) - [Tracking] Add support for searching by
user_id
andend_time
for thesearch_runs
API (#6881, #6880 @subramaniam02) - [Tracking] Add support for searching by
run_name
andrun_id
for thesearch_runs
API (#6899, @harupy; #6952, @alexacole) - ๐ [Tracking] Add support for synchronizing run
name
attribute andmlflow.runName
tag (#6971, @BenWilson2) - ๐ [Tracking] Add support for signed tracking server requests using AWSSigv4 and AWS IAM (#7044, @pdifranc)
- โก๏ธ [Tracking] Introduce the
update_run()
API for modifying thestatus
andname
attributes of existing runs (#7013, @gabrielfu) - ๐ [Tracking] Add support for experiment deletion in the
mlflow gc
cli API (#6977, @shaikmoeed) - ๐ [Models] Add support for environment restoration in the
evaluate()
API (#6728, @jerrylian-db) - ๐ [Models] Remove restrictions on binary classification labels in the
evaluate()
API (#7077, @dbczumar) - ๐ [Scoring] Add support for
BooleanType
tomlflow.pyfunc.spark_udf()
(#6913, @BenWilson2) - ๐ง [SQLAlchemy] Add support for configurable
Pool
class options forSqlAlchemyStore
(#6883, @mingyu89)
๐ Bug fixes:
- [Pipelines] Enable Pipeline subprocess commands to create a new
SparkSession
if one does not exist (#6846, @prithvikannan) - [Pipelines] Fix a rendering issue with
bool
column types in Step Card data profiles (#6907, @sunishsheth2009) - ๐ป [Pipelines] Add validation and an exception if required step files are missing (#7067, @mingyu89)
- ๐ง [Pipelines] Change step configuration validation to only be performed during runtime execution of a step (#6967, @prithvikannan)
- [Tracking] Fix infinite recursion bug when inferring the model schema in
mlflow.pyspark.ml.autolog()
(#6831, @harupy) - ๐ [UI] Remove the browser error notification when failing to fetch artifacts (#7001, @kevingreer)
- ๐ฆ [Models] Allow
mlflow-skinny
package to serve as base requirement inMLmodel
requirements (#6974, @BenWilson2) - [Models] Fix an issue with code path resolution for loading SparkML models (#6968, @dbczumar)
- ๐ฒ [Models] Fix an issue with dependency inference in logging SparkML models (#6912, @BenWilson2)
- [Models] Fix an issue involving potential duplicate downloads for SparkML models (#6903, @serena-ruan)
- [Models] Add missing
pos_label
tosklearn.metrics.precision_recall_curve
inmlflow.evaluate()
(#6854, @dbczumar) - โก๏ธ [SQLAlchemy] Fix a bug in
SqlAlchemyStore
whereset_tag()
updates the incorrect tags (#7027, @gabrielfu)
๐ Documentation updates:
- โก๏ธ [Models] Update details regarding the default
Keras
serialization format (#7022, @balvisio)
๐ Small bug fixes and documentation updates:
7093, #7095, #7092, #7064, #7049, #6921, #6920, #6940, #6926, #6923, #6862, @jerrylian-db; #6946, #6954, #6938, @mingyu89; #7047, #7087, #7056, #6936, #6925, #6892, #6860, #6828, @sunishsheth2009; #7061, #7058, #7098, #7071, #7073, #7057, #7038, #7029, #6918, #6993, #6944, #6976, #6960, #6933, #6943, #6941, #6900, #6901, #6898, #6890, #6888, #6886, #6887, #6885, #6884, #6849, #6835, #6834, @harupy; #7094, #7065, #7053, #7026, #7034, #7021, #7020, #6999, #6998, #6996, #6990, #6989, #6934, #6924, #6896, #6895, #6876, #6875, #6861, @prithvikannan; #7081, #7030, #7031, #6965, #6750, @bbarnes52; #7080, #7069, #7051, #7039, #7012, #7004, @dbczumar; #7054, @jinzhang21; #7055, #7037, #7036, #6949, #6951, @apurva-koti; #6815, @michaguenther; #6897, @chaturvedakash; #7025, #6981, #6950, #6948, #6937, #6829, #6830, @BenWilson2; #6982, @vadim; #6985, #6927, @kriscon-db; #6917, #6919, #6872, #6855, @WeichenXu123; #6980, @utkarsh867; #6973, #6935, @wentinghu; #6930, @mingyangge-db; #6956, @RohanBha1; #6916, @av-maslov; #6824, @shrinath-suresh; #6732, @oojo12; #6807, @ikrizanic; #7066, @subramaniam20jan; #7043, @AvikantSrivastava; #6879, @jspablo