MLflow 2.14.2 is a patch release that includes several important bug fixes and documentation enhancements.
Bug fixes:
[Models] Fix an issue with requirements inference error handling when disabling the default warning-only behavior (#12547, @B-Step62)
[Models] Fix dependency inference issues with Transformers models saved with the unified API llm/v1/xxx task definitions. (#12551, @B-Step62)
[Models / Databricks] Fix an issue with MLlfow log_model introduced in MLflow 2.13.0 that causes Databricks DLT service to crash in some situations (#12514, @WeichenXu123)
[Models] Fix an output data structure issue with the predict_stream implementation for LangChain AgentExecutor and other non-Runnable chains (#12518, @B-Step62)
[Tracking] Fix an issue with the predict_proba inference method in the sklearn flavor when loading an sklearn pipeline object as pyfunc (#12554, @WeichenXu123)
[Tracking] Fix an issue with the Tracing implementation where other services usage of OpenTelemetry would activate MLflow tracing and cause errors (#12457, @B-Step62)
[Tracking / Databricks] Correct an issue when running dependency inference in Databricks that can cause duplicate dependency entries to be logged (#12493, @sunishsheth2009)
Documentation updates:
[Docs] Add documentation and guides for the MLflow tracing schema (#12521, @BenWilson2)
MLflow 2.14.2 is a patch release that includes several important bug fixes and documentation enhancements.
Bug fixes:
[Models] Fix an issue with requirements inference error handling when disabling the default warning-only behavior (#12547, @B-Step62)
[Models] Fix dependency inference issues with Transformers models saved with the unified API llm/v1/xxx task definitions. (#12551, @B-Step62)
[Models / Databricks] Fix an issue with MLlfow log_model introduced in MLflow 2.13.0 that causes Databricks DLT service to crash in some situations (#12514, @WeichenXu123)
[Models] Fix an output data structure issue with the predict_stream implementation for LangChain AgentExecutor and other non-Runnable chains (#12518, @B-Step62)
[Tracking] Fix an issue with the predict_proba inference method in the sklearn flavor when loading an sklearn pipeline object as pyfunc (#12554, @WeichenXu123)
[Tracking] Fix an issue with the Tracing implementation where other services usage of OpenTelemetry would activate MLflow tracing and cause errors (#12457, @B-Step62)
[Tracking / Databricks] Correct an issue when running dependency inference in Databricks that can cause duplicate dependency entries to be logged (#12493, @sunishsheth2009)
Documentation updates:
[Docs] Add documentation and guides for the MLflow tracing schema (#12521, @BenWilson2)
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Bumps mlflow from 2.14.1 to 2.14.2.
Release notes
Sourced from mlflow's releases.
Changelog
Sourced from mlflow's changelog.
Commits
20c31eb
Runpython3 dev/update_mlflow_versions.py pre-release ...
(#12566)5b95867
fix reversione1d5f97
Update get_trace() fluent API to fetch trace from backend too (#12311)b0cb71d
Revert "Databricks SDK doc / error message improvement (#12552)"a3f9024
Skip conversational tests for transformers dev (#12310)b9956d4
Refactor@trace_disabled
implementation (#12285)d742cef
Updatepyfunc_serve_and_score_model
to kill process after scoring (#12409)3462aa0
Pin xgboost for FLAML (#12432)0d6086d
Documentcode_paths
limitation when loading multiple models (#12471)e9bf530
Use editable install in autoformat workflow (#12497)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase
.Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show