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Run python3 dev/update_changelog.py --prev-version 2.1...
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Signed-off-by: mlflow-automation <mlflow-automation@users.noreply.github.com>
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mlflow-automation committed Feb 23, 2024
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# CHANGELOG

## 2.10.3 (2024-02-23)

MLflow 2.10.3 includes several major features and improvements

Features:

- [] Add logging frequency control to tensorflow flavor for consistency with Keras flavor (#11094, @chenmoneygithub)
- [Models] ML-37213 Add Pyspark Dataframe support to mlflow.pyfunc.predict (#10939, @ernestwong-db)
- [Models] Add CLI tool for updating requirements (#11061, @daniellok-db)
- [Models] Update Embedding API for sentence transformers to be compatible with OpenAI format (#11019, @lu-wang-dl)
- [Tracking] Automatic model checkpointing for pytorch-lightning training (#10935, @WeichenXu123)
- [Models] Support input and signature for text-generation models for Chat and Completions (#11027, @es94129)
- [] Add node id to system metrics to support logging system metrics in multi-node setup (#11021, @chenmoneygithub)
- [Deployments] Implement chat & chat streaming for Cohere (#10976, @gabrielfu)

Bug fixes:

- [] Fix spark model loading failure (#11227, @WeichenXu123)
- [] Make _init_databricks_cli_config_provider supporting Databricks Runtime 9 ~ 13 (#11198, @WeichenXu123)
- [Server-infra / Tracking] Fix add environment variable to disable mlflow configuring logging on import (#11137, @jmahlik)
- [Models] Fix false warning for missing signature in Databricks (#11181, @B-Step62)
- [Tracking] [Bug fix] Fixing Mlflow evalaute bug for col_mapping for non llm/custom metrics (#11156, @sunishsheth2009)
- [] Update hardcoded "io.delta:delta-spark_2.12:3.0.0" dependency to correct scala version (#11149, @WeichenXu123)
- [Server-infra] fix: importlib.metadata get (#10752, @raphaelauv)

Documentation updates:

- [Docs] Update docs on auth db config (#11176, @gabrielfu)
- [] Update index.rst (#11134, @WP-LKL)
- [Docs] Add a guide and tutorial for mlflow data and log_input (#10956, @BenWilson2)
- [Deployments] Add Mistral AI as a new provider in LLM Deployment (#11020, @thnguyendn)

Small bug fixes and documentation updates:

#11204, #11148, #11165, #11146, #11115, #11099, #11092, @B-Step62; #11208, #11220, #11222, #11221, #11219, #11218, #11210, #11209, #11207, #11196, #11194, #11177, #11205, #11183, #11192, #11179, #11178, #11175, #11174, #11166, #11162, #11151, #11168, #11167, #11153, #11158, #11143, #11141, #11119, #11123, #11124, #11117, #11121, #11078, #11097, #11079, #11095, #11082, #11071, #11076, #11070, #11072, #11073, #11069, #11058, #11034, @harupy; #11224, #11211, #11182, #11059, @serena-ruan; #11086, @victorsun123; #11215, #11173, #11000, @edwardfeng-db; #11188, #10711, @TomeHirata; #11200, #10969, @liangz1; #11186, @xhochy; #10916, @annzhang-db; #11022, #11160, #11110, #11088, #11042, @michael-berk; #11145, #11125, #11098, @daniellok-db; #11131, @WeichenXu123; #11063, @chenmoneygithub; #11054, @smurching

## 2.10.2 (2024-02-09)

MLflow 2.10.2 includes several major features and improvements
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