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neuro-inc / neuro-base-environment

Base docker image used in Neuro Platform Template, deployed on DockerHub as neuromation/base
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Bump mlflow[extras] from 1.28.0 to 1.30.0 #531

Closed dependabot[bot] closed 1 year ago

dependabot[bot] commented 1 year ago

Bumps mlflow[extras] from 1.28.0 to 1.30.0.

Release notes

Sourced from mlflow[extras]'s releases.

MLflow 1.30.0

We are happy to announce the availability of MLflow 1.30.0!

MLflow 1.30.0 includes several major features and improvements

Features:

  • [Pipelines] Introduce hyperparameter tuning support to MLflow Pipelines (#6859, @​prithvikannan)
  • [Pipelines] Introduce support for prediction outlier comparison to training data set (#6991, @​jinzhang21)
  • [Pipelines] Introduce support for recording all training parameters for reproducibility (#7026, #7094, @​prithvikannan)
  • [Pipelines] Add support for Delta tables as a datasource in the ingest step (#7010, @​sunishsheth2009)
  • [Pipelines] Add expanded support for data profiling up to 10,000 columns (#7035, @​prithvikanna)
  • [Pipelines] Add support for AutoML in MLflow Pipelines using FLAML (#6959, @​mshtelma)
  • [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 for create_run, get_run and update_run APIs (#6782, #6798 @​apurva-koti)
  • [Tracking] Add support for searching by creation_time and last_update_time for the search_experiments API (#6979, @​harupy)
  • [Tracking] Add support for search terms run_id IN and run ID NOT IN for the search_runs API (#6945, @​harupy)
  • [Tracking] Add support for searching by user_id and end_time for the search_runs API (#6881, #6880 @​subramaniam02)
  • [Tracking] Add support for searching by run_name and run_id for the search_runs API (#6899, @​harupy; #6952, @​alexacole)
  • [Tracking] Add support for synchronizing run name attribute and mlflow.runName tag (#6971, @​BenWilson2)
  • [Tracking] Add support for signed tracking server requests using AWSSigv4 and AWS IAM (#7044, @​pdifranc)
  • [Tracking] Introduce the update_run() API for modifying the status and name attributes of existing runs (#7013, @​gabrielfu)
  • [Tracking] Add support for experiment deletion in the mlflow gc cli API (#6977, @​shaikmoeed)
  • [Models] Add support for environment restoration in the evaluate() API (#6728, @​jerrylian-db)
  • [Models] Remove restrictions on binary classification labels in the evaluate() API (#7077, @​dbczumar)
  • [Scoring] Add support for BooleanType to mlflow.pyfunc.spark_udf() (#6913, @​BenWilson2)
  • [SQLAlchemy] Add support for configurable Pool class options for SqlAlchemyStore (#6883, @​mingyu89)

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)
  • [Pipelines] Add validation and an exception if required step files are missing (#7067, @​mingyu89)
  • [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)
  • [UI] Remove the browser error notification when failing to fetch artifacts (#7001, @​kevingreer)
  • [Models] Allow mlflow-skinny package to serve as base requirement in MLmodel requirements (#6974, @​BenWilson2)
  • [Models] Fix an issue with code path resolution for loading SparkML models (#6968, @​dbczumar)
  • [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 to sklearn.metrics.precision_recall_curve in mlflow.evaluate() (#6854, @​dbczumar)
  • [SQLAlchemy] Fix a bug in SqlAlchemyStore where set_tag() updates the incorrect tags (#7027, @​gabrielfu)

Documentation updates:

  • [Models] Update details regarding the default Keras serialization format (#7022, @​balvisio)

Small bug fixes and documentation updates:

... (truncated)

Changelog

Sourced from mlflow[extras]'s changelog.

1.30.0 (2022-10-19)

MLflow 1.30.0 includes several major features and improvements

Features:

  • [Pipelines] Introduce hyperparameter tuning support to MLflow Pipelines (#6859, @​prithvikannan)
  • [Pipelines] Introduce support for prediction outlier comparison to training data set (#6991, @​jinzhang21)
  • [Pipelines] Introduce support for recording all training parameters for reproducibility (#7026, #7094, @​prithvikannan)
  • [Pipelines] Add support for Delta tables as a datasource in the ingest step (#7010, @​sunishsheth2009)
  • [Pipelines] Add expanded support for data profiling up to 10,000 columns (#7035, @​prithvikanna)
  • [Pipelines] Add support for AutoML in MLflow Pipelines using FLAML (#6959, @​mshtelma)
  • [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 for create_run, get_run and update_run APIs (#6782, #6798 @​apurva-koti)
  • [Tracking] Add support for searching by creation_time and last_update_time for the search_experiments API (#6979, @​harupy)
  • [Tracking] Add support for search terms run_id IN and run ID NOT IN for the search_runs API (#6945, @​harupy)
  • [Tracking] Add support for searching by user_id and end_time for the search_runs API (#6881, #6880 @​subramaniam02)
  • [Tracking] Add support for searching by run_name and run_id for the search_runs API (#6899, @​harupy; #6952, @​alexacole)
  • [Tracking] Add support for synchronizing run name attribute and mlflow.runName tag (#6971, @​BenWilson2)
  • [Tracking] Add support for signed tracking server requests using AWSSigv4 and AWS IAM (#7044, @​pdifranc)
  • [Tracking] Introduce the update_run() API for modifying the status and name attributes of existing runs (#7013, @​gabrielfu)
  • [Tracking] Add support for experiment deletion in the mlflow gc cli API (#6977, @​shaikmoeed)
  • [Models] Add support for environment restoration in the evaluate() API (#6728, @​jerrylian-db)
  • [Models] Remove restrictions on binary classification labels in the evaluate() API (#7077, @​dbczumar)
  • [Scoring] Add support for BooleanType to mlflow.pyfunc.spark_udf() (#6913, @​BenWilson2)
  • [SQLAlchemy] Add support for configurable Pool class options for SqlAlchemyStore (#6883, @​mingyu89)

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)
  • [Pipelines] Add validation and an exception if required step files are missing (#7067, @​mingyu89)
  • [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)
  • [UI] Remove the browser error notification when failing to fetch artifacts (#7001, @​kevingreer)
  • [Models] Allow mlflow-skinny package to serve as base requirement in MLmodel requirements (#6974, @​BenWilson2)
  • [Models] Fix an issue with code path resolution for loading SparkML models (#6968, @​dbczumar)
  • [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 to sklearn.metrics.precision_recall_curve in mlflow.evaluate() (#6854, @​dbczumar)
  • [SQLAlchemy] Fix a bug in SqlAlchemyStore where set_tag() updates the incorrect tags (#7027, @​gabrielfu)

Documentation updates:

  • [Models] Update details regarding the default Keras serialization format (#7022, @​balvisio)

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

... (truncated)

Commits
  • d975b5a Update MLflow version to 1.30.0 (#7115)
  • 8ed7f78 Improve model validation docs (#7093)
  • 72c1890 Add type checks to validation_thresholds parameter (#7095)
  • b106f0d Update requirements.yaml files (#7111)
  • 33bf47e Run python3 dev/update_ml_package_versions.py (#7110)
  • e012b66 Run python3 dev/update_pypi_package_index.py (#7109)
  • 16cb9d6 mlflow.evaluate(): allow arbitrary positive labels (#7077)
  • 398fe53 Throw exception if not all required step files are present (#7067)
  • 5d8319c Adding validation for ingest and split step (#7047)
  • 34b23d7 Replace deprecated sqlalchemy features that will be removed in sqlalchemy 2.0...
  • Additional commits viewable in compare view


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dependabot[bot] commented 1 year ago

Superseded by #536.