Update dependency mlflow to v1.30.0

[renovate[bot]]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
mlflow (source)	==1.29.0 -> ==1.30.0

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Release Notes

mlflow/mlflow

v1.30.0

Compare Source

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

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