chore(deps): bump mlflow[extras] from 1.22.0 to 1.23.0 in /docker

[dependabot[bot]]

Bumps mlflow[extras] from 1.22.0 to 1.23.0.

Release notes

Sourced from mlflow[extras]'s releases.

MLflow 1.23.0 includes several major features and improvements:

Note: Version 1.23.0 of the MLflow R package has not yet been released. It will be available on CRAN within the next week.

Features:

• [Models] Introduce an mlflow.evaluate() API for evaluating MLflow Models, providing performance and explainability insights. For an overview, see https://mlflow.org/docs/latest/models.html#model-evaluation (#5069, #5092, #5256, @​WeichenXu123)
• [Models] log_model() APIs now return information about the logged MLflow Model, including artifact location, flavors, and schema (#5230, @​liangz1)
• [Models] Introduce an mlflow.models.Model.load_input_example() Python API for loading MLflow Model input examples (#5212, @​maitre-matt)
• [Models] Add a UUID field to the MLflow Model specification. MLflow Models now have a unique identifier (#5149, #5167, @​WeichenXu123)
• [Models] Support passing SciPy CSC and CSR matrices as MLflow Model input examples (#5016, @​WeichenXu123)
• [Model Registry] Support specifying latest in model URI to get the latest version of a model regardless of the stage (#5027, @​lichenran1234)
• [Tracking] Add support for LightGBM scikit-learn models to mlflow.lightgbm.autolog() (#5130, #5200, #5271 @​jwyyy)
• [Tracking] Improve S3 artifact download speed by caching boto clients (#4695, @​Samreay)
• [UI] Automatically update metric plots for in-progress runs (#5017, @​cedkoffeto, @​harupy)

Bug fixes and documentation updates:

• [Models] Fix a bug in MLflow Model schema enforcement where strings were incorrectly cast to Pandas objects (#5134, @​stevenchen-db)
• [Models] Fix a bug where keyword arguments passed to mlflow.pytorch.load_model() were not applied for scripted models (#5163, @​schmidt-jake)
• [Model Registry][r] Fix bug in R client mlflow_create_model_version() API that caused model source to be set incorrectly (#5185, @​bramrodenburg)
• [Projects] Fix parsing behavior for Project URIs containing quotes (#5117, @​dinaldoap)
• [Scoring] Use the correct 400-level error code for malformed MLflow Model Server requests (#5003, @​abatomunkuev)
• [Tracking] Fix a bug where mlflow.start_run() modified user-supplied tags dictionary (#5191, @​matheusMoreno)
• [UI] Fix a bug causing redundant scroll bars to be displayed on the Experiment Page (#5159, @​sunishsheth2009)

Small bug fixes and doc updates (#5275, #5264, #5244, #5249, #5255, #5248, #5243, #5240, #5239, #5232, #5234, #5235, #5082, #5220, #5219, #5226, #5217, #5194, #5188, #5132, #5182, #5183, #5180, #5177, #5165, #5164, #5162, #5015, #5136, #5065, #5125, #5106, #5127, #5120, @​harupy; #5045, @​BenWilson2; #5156, @​pbezglasny; #5202, @​jwyyy; #3863, @​JoshuaAnickat; #5205, @​abhiramr; #4604, @​OSobky; #4256, @​einsmein; #5140, @​AveshCSingh; #5273, #5186, #5176, @​WeichenXu123; #5260, #5229, #5206, #5174, #5160, @​liangz1)

Changelog

Sourced from mlflow[extras]'s changelog.

1.23.0 (2022-01-17)

MLflow 1.23.0 includes several major features and improvements:

Features:

• [Models] Introduce an mlflow.evaluate() API for evaluating MLflow Models, providing performance and explainability insights. For an overview, see https://mlflow.org/docs/latest/models.html#model-evaluation (#5069, #5092, #5256, @​WeichenXu123)
• [Models] log_model() APIs now return information about the logged MLflow Model, including artifact location, flavors, and schema (#5230, @​liangz1)
• [Models] Introduce an mlflow.models.Model.load_input_example() Python API for loading MLflow Model input examples (#5212, @​maitre-matt)
• [Models] Add a UUID field to the MLflow Model specification. MLflow Models now have a unique identifier (#5149, #5167, @​WeichenXu123)
• [Models] Support passing SciPy CSC and CSR matrices as MLflow Model input examples (#5016, @​WeichenXu123)
• [Model Registry] Support specifying latest in model URI to get the latest version of a model regardless of the stage (#5027, @​lichenran1234)
• [Tracking] Add support for LightGBM scikit-learn models to mlflow.lightgbm.autolog() (#5130, #5200, #5271 @​jwyyy)
• [Tracking] Improve S3 artifact download speed by caching boto clients (#4695, @​Samreay)
• [UI] Automatically update metric plots for in-progress runs (#5017, @​cedkoffeto, @​harupy)

Bug fixes and documentation updates:

• [Models] Fix a bug in MLflow Model schema enforcement where strings were incorrectly cast to Pandas objects (#5134, @​stevenchen-db)
• [Models] Fix a bug where keyword arguments passed to mlflow.pytorch.load_model() were not applied for scripted models (#5163, @​schmidt-jake)
• [Model Registry][R] Fix bug in R client mlflow_create_model_version() API that caused model source to be set incorrectly (#5185, @​bramrodenburg)
• [Projects] Fix parsing behavior for Project URIs containing quotes (#5117, @​dinaldoap)
• [Scoring] Use the correct 400-level error code for malformed MLflow Model Server requests (#5003, @​abatomunkuev)
• [Tracking] Fix a bug where mlflow.start_run() modified user-supplied tags dictionary (#5191, @​matheusMoreno)
• [UI] Fix a bug causing redundant scroll bars to be displayed on the Experiment Page (#5159, @​sunishsheth2009)

Small bug fixes and doc updates (#5275, #5264, #5244, #5249, #5255, #5248, #5243, #5240, #5239, #5232, #5234, #5235, #5082, #5220, #5219, #5226, #5217, #5194, #5188, #5132, #5182, #5183, #5180, #5177, #5165, #5164, #5162, #5015, #5136, #5065, #5125, #5106, #5127, #5120, @​harupy; #5045, @​BenWilson2; #5156, @​pbezglasny; #5202, @​jwyyy; #3863, @​JoshuaAnickat; #5205, @​abhiramr; #4604, @​OSobky; #4256, @​einsmein; #5140, @​AveshCSingh; #5273, #5186, #5176, @​WeichenXu123; #5260, #5229, #5206, #5174, #5160, @​liangz1)

Commits

• 86ad040 Update MLflow version to 1.23.0 (#5279)
• f2dc157 python dev/update_pypi_package_index.py (#5280)
• 9ef881f python dev/update_ml_package_versions.py (#5278)
• 043108c Changelog for MLflow 1.23 (#5270)
• 1ddb2c9 Use len(classes_) instead of len(set(y_true)) (#5275)
• 847eb6b Improve confusion matrix plot (#5273)
• 00921fc Add Model Evaluation docs to MLflow Models section and make small API doc imp...
• acbf433 Fix typo in lightgbm example README (#5271)
• ee9532a Autologging functionality for scikit-learn integration with LightGBM (Part 2)...
• 0144d86 Evaluate Api examples (#5186)
• Additional commits viewable in compare view

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