Bump mlflow from 2.2.2 to 2.4.1

[dependabot[bot]]

Bumps mlflow from 2.2.2 to 2.4.1.

Release notes

Sourced from mlflow's releases.

MLflow 2.4.1 is a patch release containing the following features, bug fixes and changes:

Features:

• [Tracking] Extend SearchRuns to support datasets (#8622, @​prithvikannan)
• [Models] Add an mlflow.johnsnowlabs flavor for the johnsnowlabs package (#8556, @​C-K-Loan)
• [Models] Add a warning for duplicate pip requirements specified in save_model and log_model for the transformers flavor (#8678, @​BenWilson2)

Bug fixes:

• [Security] Improve robustness to LFI attacks (#8648, @​serena-ruan)
  • If you are using mlflow server or mlflow ui, we recommend upgrading to MLflow 2.4.1 as soon as possible.
• [Models] Fix an issue with transformers serialization for ModelCards that contain invalid characters (#8652, @​BenWilson2)
• [Models] Fix connection pooling deadlocks that occurred during large file downloads (#8682, @​dbczumar; #8660, @​harupy)

Small bug fixes and documentation updates:

#8677, #8674, #8646, #8647, @​dbczumar; #8654, #8653, #8660, #8650, #8642, #8636, #8599, #8637, #8608, #8633, #8623, #8628, #8619, @​harupy; #8655, #8609, @​BenWilson2; #8648, @​serena-ruan; #8521, @​ka1mar; #8638, @​smurching; #8634, @​PenHsuanWang

MLflow 2.4.0 includes several major features and improvements

Features:

• [Tracking] Introduce dataset tracking APIs: mlflow.data and mlflow.log_input() (#8186, @​prithvikannan)
• [Tracking] Add mlflow.log_table() and mlflow.load_table() APIs for logging evaluation tables (#8523, #8467, @​sunishsheth2009)
• [Tracking] Introduce mlflow.get_parent_run() fluent API (#8493, @​annzhang-db)
• [Tracking / Model Registry] Re-introduce faster artifact downloads on Databricks (#8352, @​dbczumar; #8561, @​harupy)
• [UI] Add dataset tracking information to MLflow Tracking UI (#8602, @​prithvikannan, @​hubertzub-db)
• [UI] Introduce Artifact View for comparing inputs, outputs, and metadata across models (#8602, @​hubertzub-db)
• [Models] Extend mlflow.evaluate() to support LLM tasks (#8484, @​harupy)
• [Models] Support logging subclasses of Chain and LLMChain in mlflow.langchain flavor (#8453, @​liangz1)
• [Models] Add support for LangChain Agents to the mlflow.langchain flavor (#8297, @​sunishsheth2009)
• [Models] Add a mlflow.sentence_transformers flavor for SentenceTransformers (#8479, @​BenWilson2; #8547, @​Loquats)
• [Models] Add support for multi-GPU inference and efficient weight loading for mlflow.transformers flavor (#8448, @​ankit-db)
• [Models] Support the max_shard_size parameter in the mlflow.transformers flavor (#8567, @​wenfeiy-db)
• [Models] Add support for audio transcription pipelines in the mlflow.transformers flavor (#8464, @​BenWilson2)
• [Models] Add support for audio classification to mlflow.transformers flavor (#8492, @​BenWilson2)
• [Models] Add support for URI inputs in audio models logged with the mlflow.transformers flavor (#8495, @​BenWilson2)
• [Models] Add support for returning classifier scores in mlflow.transformers pyfunc outputs (#8512, @​BenWilson2)
• [Models] Support optional inputs in model signatures (#8438, @​apurva-koti)
• [Models] Introduce an mlflow.models.set_signature() API to set the signature of a logged model (#8476, @​jerrylian-db)
• [Models] Persist ONNX Runtime InferenceSession options when logging a model with mlflow.onnx.log_model() (#8433, @​leqiao-1)

Bug fixes:

• [Tracking] Terminate Spark callback server when Spark Autologging is disabled or Spark Session is shut down (#8508, @​WeichenXu123)
• [Tracking] Fix compatibility of mlflow server with Flask<2.0 (#8463, @​kevingreer)
• [Models] Convert mlflow.transformers pyfunc scalar string output to list of strings during batch inference (#8546, @​BenWilson2)
• [Models] Fix a bug causing outdated pyenv versions to be installed by mlflow models build-docker (#8488, @​Hellzed)
• [Model Registry] Remove aliases from storage when a Model Version is deleted (#8459, @​arpitjasa-db)

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.4.1 (2023-06-09)

MLflow 2.4.1 is a patch release containing the following features, bug fixes and changes:

Features:

• [Tracking] Extend SearchRuns to support datasets (#8622, @​prithvikannan)
• [Models] Add an mlflow.johnsnowlabs flavor for the johnsnowlabs package (#8556, @​C-K-Loan)
• [Models] Add a warning for duplicate pip requirements specified in save_model and log_model for the transformers flavor (#8678, @​BenWilson2)

Bug fixes:

• [Security] Improve robustness to LFI attacks (#8648, @​serena-ruan)
  • If you are using mlflow server or mlflow ui, we recommend upgrading to MLflow 2.4.1 as soon as possible.
• [Models] Fix an issue with transformers serialization for ModelCards that contain invalid characters (#8652, @​BenWilson2)
• [Models] Fix connection pooling deadlocks that occurred during large file downloads (#8682, @​dbczumar; #8660, @​harupy)

Small bug fixes and documentation updates:

#8677, #8674, #8646, #8647, @​dbczumar; #8654, #8653, #8660, #8650, #8642, #8636, #8599, #8637, #8608, #8633, #8623, #8628, #8619, @​harupy; #8655, #8609, @​BenWilson2; #8648, @​serena-ruan; #8521, @​ka1mar; #8638, @​smurching; #8634, @​PenHsuanWang

2.4.0 (2023-06-06)

MLflow 2.4.0 includes several major features and improvements

Features:

• [Tracking] Introduce dataset tracking APIs: mlflow.data and mlflow.log_input() (#8186, @​prithvikannan)
• [Tracking] Add mlflow.log_table() and mlflow.load_table() APIs for logging evaluation tables (#8523, #8467, @​sunishsheth2009)
• [Tracking] Introduce mlflow.get_parent_run() fluent API (#8493, @​annzhang-db)
• [Tracking / Model Registry] Re-introduce faster artifact downloads on Databricks (#8352, @​dbczumar; #8561, @​harupy)
• [UI] Add dataset tracking information to MLflow Tracking UI (#8602, @​prithvikannan, @​hubertzub-db)
• [UI] Introduce Artifact View for comparing inputs, outputs, and metadata across models (#8602, @​hubertzub-db)
• [Models] Extend mlflow.evaluate() to support LLM tasks (#8484, @​harupy)
• [Models] Support logging subclasses of Chain and LLMChain in mlflow.langchain flavor (#8453, @​liangz1)
• [Models] Add support for LangChain Agents to the mlflow.langchain flavor (#8297, @​sunishsheth2009)
• [Models] Add a mlflow.sentence_transformers flavor for SentenceTransformers (#8479, @​BenWilson2; #8547, @​Loquats)
• [Models] Add support for multi-GPU inference and efficient weight loading for mlflow.transformers flavor (#8448, @​ankit-db)
• [Models] Support the max_shard_size parameter in the mlflow.transformers flavor (#8567, @​wenfeiy-db)
• [Models] Add support for audio transcription pipelines in the mlflow.transformers flavor (#8464, @​BenWilson2)
• [Models] Add support for audio classification to mlflow.transformers flavor (#8492, @​BenWilson2)
• [Models] Add support for URI inputs in audio models logged with the mlflow.transformers flavor (#8495, @​BenWilson2)
• [Models] Add support for returning classifier scores in mlflow.transformers pyfunc outputs (#8512, @​BenWilson2)
• [Models] Support optional inputs in model signatures (#8438, @​apurva-koti)
• [Models] Introduce an mlflow.models.set_signature() API to set the signature of a logged model (#8476, @​jerrylian-db)
• [Models] Persist ONNX Runtime InferenceSession options when logging a model with mlflow.onnx.log_model() (#8433, @​leqiao-1)

Bug fixes:

• [Tracking] Terminate Spark callback server when Spark Autologging is disabled or Spark Session is shut down (#8508, @​WeichenXu123)
• [Tracking] Fix compatibility of mlflow server with Flask<2.0 (#8463, @​kevingreer)

... (truncated)

Commits

• 2691a2b Update
• c9070f9 Run python3 dev/update_changelog.py --prev-version 2.4... (#8679)
• 0e592fe Merge branch 'master' into branch-2.4
• a08ae4d Add duplicate requirements validation (#8678)
• 0811f42 Mark optional columns experimental (#8677)
• 7f87741 Use smaller chunk size (#8674)
• 6430dad Ignore encoding errors with transformers model cards (#8652)
• 0310398 Revert "Do not use subprocess in multipart download" (#8654)
• d3b9b0e update data target for hyperparam examples (#8655)
• 1aa28b0 Update rest-api.rst (#8671)
• Additional commits viewable in compare view

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 ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)