Bump mlflow from 1.26.1 to 2.4.2

[dependabot]

Bumps mlflow from 1.26.1 to 2.4.2.

Release notes

Sourced from mlflow's releases.

MLflow 2.4.2 is a patch release containing the following bug fixes and changes:

Bug fixes:

• [Models] Add compatibility for legacy transformers serialization (#8964, @​BenWilson2)
• [Models] Fix downloading MLmodel files from alias-based models:/ URIs (#8764, @​smurching)
• [Models] Fix reading model flavor config from URI for models in UC (#8728, @​smurching)
• [Models] Support feature_deps in ModelVersion creation for UC (#8867, #8815, @​AveshCSingh)
• [Models] Add support for listing artifacts in UC model registry artifact repo (#8803, @​smurching)
• [Core] Include resources for recipes in mlflow-skinny (#8895, @​harupy)
• [UI] Enable datasets tracking UI (#8886, @​harupy)
• [Artifacts] Use MLFLOW_ENABLE_MULTIPART_DOWNLOAD in DatabricksArtifactRepository (#8884, @​harupy)

Documentation updates:

• [Examples / Docs] Add question-answering and summarization examples and docs with LLMs (#8695, @​dbczumar)
• [Examples / Docs] Add johnsnowlabs flavor example and doc (#8689, @​C-K-Loan)

Small bug fixes and documentation updates:

#8966, @​BenWilson2; #8881, @​harupy; #8846, #8760, @​smurching

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)

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.4.2 (2023-07-10)

MLflow 2.4.2 is a patch release containing the following bug fixes and changes:

Bug fixes:

• [Models] Add compatibility for legacy transformers serialization (#8964, @​BenWilson2)
• [Models] Fix downloading MLmodel files from alias-based models:/ URIs (#8764, @​smurching)
• [Models] Fix reading model flavor config from URI for models in UC (#8728, @​smurching)
• [Models] Support feature_deps in ModelVersion creation for UC (#8867, #8815, @​AveshCSingh)
• [Models] Add support for listing artifacts in UC model registry artifact repo (#8803, @​smurching)
• [Core] Include resources for recipes in mlflow-skinny (#8895, @​harupy)
• [UI] Enable datasets tracking UI (#8886, @​harupy)
• [Artifacts] Use MLFLOW_ENABLE_MULTIPART_DOWNLOAD in DatabricksArtifactRepository (#8884, @​harupy)

Documentation updates:

• [Examples / Docs] Add question-answering and summarization examples and docs with LLMs (#8695, @​dbczumar)
• [Examples / Docs] Add johnsnowlabs flavor example and doc (#8689, @​C-K-Loan)

Small bug fixes and documentation updates:

#8966, @​BenWilson2; #8881, @​harupy; #8846, #8760, @​smurching

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:

... (truncated)

Commits

• 79c489f Run python3 dev/update_mlflow_versions.py pre-release ... (#9018)
• 8fce8a1 Include feature_deps in CreateModelVersionRequest (#8867)
• 2bcba93 Remove the Databricks Job Experiment creation code (#8966)
• a39eadb Add compatibility for legacy transformers serialization (#8964)
• 95ebb0c Include resources for recipes in mlflow-skinny (#8895)
• a42e958 Enable datasets tracking UI (#8886)
• c3dcaf5 Use MLFLOW_ENABLE_MULTIPART_DOWNLOAD in DatabricksArtifactRepository (#8884)
• e57441f Revert "Remove LRU session caching (#8682)" (#8881)
• 984ec91 Update CreateModelVersionRequest msg (#8815)
• daa6eef Improve error messages when trying to use alias APIs with workspace model reg...
• 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)

[dependabot]

Superseded by #63.