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YeonwooSung / MLOps

Miscellaneous codes and writings for MLOps
GNU General Public License v3.0
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build(deps): bump the pip group across 4 directories with 5 updates #101

Closed dependabot[bot] closed 3 months ago

dependabot[bot] commented 3 months ago

Bumps the pip group with 1 update in the /LLM/src/observe_with_langfuse directory: joblib. Bumps the pip group with 4 updates in the /kubernetes/src/odh_base_ml_platform directory: httpx, joblib, scikit-learn and mlflow. Bumps the pip group with 1 update in the /kubernetes/src/odh_base_ml_platform/advanced/model_deploy_pipeline/model_build_push directory: werkzeug. Bumps the pip group with 1 update in the /kubernetes/src/odh_base_ml_platform/model_event_listener directory: httpx.

Updates joblib from 1.3.2 to 1.4.2

Release notes

Sourced from joblib's releases.

1.4.2

What's Changed

New Contributors

Full Changelog: https://github.com/joblib/joblib/compare/1.4.0...1.4.2

Joblib 1.4.0

What's Changed

New Contributors

... (truncated)

Changelog

Sourced from joblib's changelog.

Release 1.4.2 -- 2024/05/02

Due to maintenance issues, 1.4.1 was not valid and we bumped the version to 1.4.2

  • Fix a backward incompatible change in MemorizedFunc.call which needs to return the metadata. Also make sure that NotMemorizedFunc.call return an empty dict for metadata for consistency. joblib/joblib#1576

Release 1.4.0 -- 2024/04/08

  • Allow caching co-routines with Memory.cache. joblib/joblib#894

  • Try to cast n_jobs to int in parallel and raise an error if it fails. This means that n_jobs=2.3 will now result in effective_n_jobs=2 instead of failing. joblib/joblib#1539

  • Ensure that errors in the task generator given to Parallel's call are raised in the results consumming thread. joblib/joblib#1491

  • Adjust codebase to NumPy 2.0 by changing np.NaN to np.nan and importing byte_bounds from np.lib.array_utils. joblib/joblib#1501

  • The parameter return_as in joblib.Parallel can now be set to generator_unordered. In this case the results will be returned in the order of task completion rather than the order of submission. joblib/joblib#1463

  • dask backend now supports return_as=generator and return_as=generator_unordered. joblib/joblib#1520

  • Vendor cloudpickle 3.0.0 and end support for Python 3.7 which has reached end of life. joblib/joblib#1487 joblib/joblib#1515

Commits
  • d46857a RELEASE 1.4.2 - bugfix release (#1579)
  • 1787fb7 MTN back to dev mode
  • 118ad37 RELEASE 1.4.1 - bugfix release (#1578)
  • 398d8ee FIX revert MemorizedFunc.call API change (#1576)
  • 2be8dcd DOC fix return_as="generator_unordered" in docs (#1574)
  • 4db39eb CLN fix spelling typo with codespell (#1571)
  • 1b0d1f4 TST add a non-regression test ensuring conservation of byte order during IPC ...
  • 59659e0 MTN remove deprecated bytes_limit (#1569)
  • f57a721 MTN handle changes from master->main + remove master process terminology
  • ba1d3da MTN back to dev mode
  • Additional commits viewable in compare view


Updates httpx from 0.21.1 to 0.23.0

Release notes

Sourced from httpx's releases.

Version 0.23.0

0.23.0 (23rd May, 2022)

Changed

  • Drop support for Python 3.6. (#2097)
  • Use utf-8 as the default character set, instead of falling back to charset-normalizer for auto-detection. To enable automatic character set detection, see the documentation. (#2165)

Fixed

  • Fix URL.copy_with for some oddly formed URL cases. (#2185)
  • Digest authentication should use case-insensitive comparison for determining which algorithm is being used. (#2204)
  • Fix console markup escaping in command line client. (#1866)
  • When files are used in multipart upload, ensure we always seek to the start of the file. (#2065)
  • Ensure that iter_bytes never yields zero-length chunks. (#2068)
  • Preserve Authorization header for redirects that are to the same origin, but are an http-to-https upgrade. (#2074)
  • When responses have binary output, don't print the output to the console in the command line client. Use output like <16086 bytes of binary data> instead. (#2076)
  • Fix display of --proxies argument in the command line client help. (#2125)
  • Close responses when task cancellations occur during stream reading. (#2156)
  • Fix type error on accessing .request on HTTPError exceptions. (#2158)

Version 0.22.0

0.22.0 (26th January, 2022)

Added

Fixed

  • Don't perform unreliable close/warning on __del__ with unclosed clients. (#2026)
  • Fix Headers.update(...) to correctly handle repeated headers (#2038)

Version 0.21.3

0.21.3 (6th January, 2022)

Fixed

  • Fix streaming uploads using SyncByteStream or AsyncByteStream. Regression in 0.21.2. (#2016)

Version 0.21.2

0.21.2 (5th January, 2022)

Fixed

  • HTTP/2 support for tunnelled proxy cases. (#2009)
  • Improved the speed of large file uploads. (#1948)
Changelog

Sourced from httpx's changelog.

0.23.0 (23rd May, 2022)

Changed

  • Drop support for Python 3.6. (#2097)
  • Use utf-8 as the default character set, instead of falling back to charset-normalizer for auto-detection. To enable automatic character set detection, see the documentation. (#2165)

Fixed

  • Fix URL.copy_with for some oddly formed URL cases. (#2185)
  • Digest authentication should use case-insensitive comparison for determining which algorithm is being used. (#2204)
  • Fix console markup escaping in command line client. (#1866)
  • When files are used in multipart upload, ensure we always seek to the start of the file. (#2065)
  • Ensure that iter_bytes never yields zero-length chunks. (#2068)
  • Preserve Authorization header for redirects that are to the same origin, but are an http-to-https upgrade. (#2074)
  • When responses have binary output, don't print the output to the console in the command line client. Use output like <16086 bytes of binary data> instead. (#2076)
  • Fix display of --proxies argument in the command line client help. (#2125)
  • Close responses when task cancellations occur during stream reading. (#2156)
  • Fix type error on accessing .request on HTTPError exceptions. (#2158)

0.22.0 (26th January, 2022)

Added

Fixed

  • Don't perform unreliable close/warning on __del__ with unclosed clients. (#2026)
  • Fix Headers.update(...) to correctly handle repeated headers (#2038)

0.21.3 (6th January, 2022)

Fixed

  • Fix streaming uploads using SyncByteStream or AsyncByteStream. Regression in 0.21.2. (#2016)

0.21.2 (5th January, 2022)

Fixed

  • HTTP/2 support for tunnelled proxy cases. (#2009)
  • Improved the speed of large file uploads. (#1948)
Commits


Updates joblib from 1.1.0 to 1.2.0

Release notes

Sourced from joblib's releases.

1.4.2

What's Changed

New Contributors

Full Changelog: https://github.com/joblib/joblib/compare/1.4.0...1.4.2

Joblib 1.4.0

What's Changed

New Contributors

... (truncated)

Changelog

Sourced from joblib's changelog.

Release 1.4.2 -- 2024/05/02

Due to maintenance issues, 1.4.1 was not valid and we bumped the version to 1.4.2

  • Fix a backward incompatible change in MemorizedFunc.call which needs to return the metadata. Also make sure that NotMemorizedFunc.call return an empty dict for metadata for consistency. joblib/joblib#1576

Release 1.4.0 -- 2024/04/08

  • Allow caching co-routines with Memory.cache. joblib/joblib#894

  • Try to cast n_jobs to int in parallel and raise an error if it fails. This means that n_jobs=2.3 will now result in effective_n_jobs=2 instead of failing. joblib/joblib#1539

  • Ensure that errors in the task generator given to Parallel's call are raised in the results consumming thread. joblib/joblib#1491

  • Adjust codebase to NumPy 2.0 by changing np.NaN to np.nan and importing byte_bounds from np.lib.array_utils. joblib/joblib#1501

  • The parameter return_as in joblib.Parallel can now be set to generator_unordered. In this case the results will be returned in the order of task completion rather than the order of submission. joblib/joblib#1463

  • dask backend now supports return_as=generator and return_as=generator_unordered. joblib/joblib#1520

  • Vendor cloudpickle 3.0.0 and end support for Python 3.7 which has reached end of life. joblib/joblib#1487 joblib/joblib#1515

Commits
  • d46857a RELEASE 1.4.2 - bugfix release (#1579)
  • 1787fb7 MTN back to dev mode
  • 118ad37 RELEASE 1.4.1 - bugfix release (#1578)
  • 398d8ee FIX revert MemorizedFunc.call API change (#1576)
  • 2be8dcd DOC fix return_as="generator_unordered" in docs (#1574)
  • 4db39eb CLN fix spelling typo with codespell (#1571)
  • 1b0d1f4 TST add a non-regression test ensuring conservation of byte order during IPC ...
  • 59659e0 MTN remove deprecated bytes_limit (#1569)
  • f57a721 MTN handle changes from master->main + remove master process terminology
  • ba1d3da MTN back to dev mode
  • Additional commits viewable in compare view


Updates scikit-learn from 1.0 to 1.0.1

Release notes

Sourced from scikit-learn's releases.

scikit-learn 1.0.1

We're happy to announce the 1.0.1 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/dev/whats_new/v1.0.html#version-1-0-1

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds will be available shortly, which you can then install using:

conda install -c conda-forge scikit-learn
Commits
  • 0d37891 Trigger wheel builder workflow: [cd build]
  • 7737cb9 DOC update the News section in website (#21417)
  • 8971a19 DOC Ensures that MultiTaskElasticNetCV passes numpydoc validation (#21405)
  • d6e24ee DOC Ensures that LabelSpreading passes numpydoc validation (#21414)
  • 14fda2f DOC Ensures that PassiveAggressiveRegressor passes numpydoc validation (#21413)
  • 112ae4e DOC Ensures that OrthogonalMatchingPursuitCV passes numpydoc validation (#21412)
  • cd927c0 FIX delete feature_names_in_ when refitting on a ndarray (#21389)
  • ae223ee bumpversion to 1.0.1
  • 9227162 MNT remove 1.1 changelog due to rebase conflict
  • 5d75547 MNT fix changelog 1.0.1 (#21416)
  • Additional commits viewable in compare view


Updates mlflow from 1.22.0 to 2.13.2

Release notes

Sourced from mlflow's releases.

v2.13.2

MLflow 2.13.2 is a patch release that includes several bug fixes and integration improvements to existing features.

Features:

Bug fixes:

Small bug fixes and documentation updates:

#12268, #12210, @​B-Step62; #12214, @​harupy; #12223, #12226, @​annzhang-db; #12260, #12237, @​prithvikannan; #12261, @​BenWilson2; #12231, @​serena-ruan; #12238, @​sunishsheth2009

v2.13.1

MLflow 2.13.1 is a patch release that includes several bug fixes and integration improvements to existing features. New features that are introduced in this patch release are intended to provide a foundation to further major features that will be released in the next release.

Features:

  • [MLflow] Add mlflow[langchain] extra that installs recommended versions of langchain with MLflow (#12182, @​sunishsheth2009)
  • [Tracking] Adding the ability to override the model_config in langchain flavor if loaded as pyfunc (#12085, @​sunishsheth2009)
  • [Model Registry] Automatically detect if Presigned URLs are required for Unity Catalog (#12177, @​artjen)

Bug fixes:

  • [Tracking] Use getUserLocalTempDir and getUserNFSTempDir to replace getReplLocalTempDir and getReplNFSTempDir in databricks runtime (#12105, @​WeichenXu123)
  • [Model] Updating chat model to take default input_example and predict to accept json during inference (#12115, @​sunishsheth2009)
  • [Tracking] Automatically call load_context when inferring signature in pyfunc (#12099, @​sunishsheth2009)

v2.13.0

MLflow 2.13.0 includes several major features and improvements

With this release, we're happy to introduce several features that enhance the usability of MLflow broadly across a range of use cases.

Major Features and Improvements:

  • Streamable Python Models: The newly introduced predict_stream API for Python Models allows for custom model implementations that support the return of a generator object, permitting full customization for GenAI applications.

  • Enhanced Code Dependency Inference: A new feature for automatically inferrring code dependencies based on detected dependencies within a model's implementation. As a supplement to the code_paths parameter, the introduced infer_model_code_paths option when logging a model will determine which additional code modules are needed in order to ensure that your models can be loaded in isolation, deployed, and reliably stored.

  • Standardization of MLflow Deployment Server: Outputs from the Deployment Server's endpoints now conform to OpenAI's interfaces to provide a simpler integration with commonly used services.

Features:

  • [Deployments] Update the MLflow Deployment Server interfaces to be OpenAI compatible (#12003, @​harupy)
  • [Deployments] Add Togetherai as a supported provider for the MLflow Deployments Server (#11557, @​FotiosBistas)
  • [Models] Add predict_stream API support for Python Models (#11791, @​WeichenXu123)

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.13.2 (2024-06-06)

MLflow 2.13.2 is a patch release that includes several bug fixes and integration improvements to existing features.

Features:

Bug fixes:

Small bug fixes and documentation updates:

#12268, #12210, @​B-Step62; #12214, @​harupy; #12223, #12226, @​annzhang-db; #12260, #12237, @​prithvikannan; #12261, @​BenWilson2; #12231, @​serena-ruan; #12238, @​sunishsheth2009

2.13.1 (2024-05-30)

MLflow 2.13.1 is a patch release that includes several bug fixes and integration improvements to existing features. New features that are introduced in this patch release are intended to provide a foundation to further major features that will be released in the next release.

Features:

  • [MLflow] Add mlflow[langchain] extra that installs recommended versions of langchain with MLflow (#12182, @​sunishsheth2009)
  • [Tracking] Adding the ability to override the model_config in langchain flavor if loaded as pyfunc (#12085, @​sunishsheth2009)
  • [Model Registry] Automatically detect if Presigned URLs are required for Unity Catalog (#12177, @​artjen)

Bug fixes:

  • [Tracking] Use getUserLocalTempDir and getUserNFSTempDir to replace getReplLocalTempDir and getReplNFSTempDir in databricks runtime (#12105, @​WeichenXu123)
  • [Model] Updating chat model to take default input_example and predict to accept json during inference (#12115, @​sunishsheth2009)
  • [Tracking] Automatically call load_context when inferring signature in pyfunc (#12099, @​sunishsheth2009)

Small bug fixes and documentation updates:

#12180, #12152, #12128, #12126, #12100, #12086, #12084, #12079, #12071, #12067, #12062, @​serena-ruan; #12175, #12167, #12137, #12134, #12127, #12123, #12111, #12109, #12078, #12080, #12064, @​B-Step62; #12142, @​2maz; #12171, #12168, #12159, #12153, #12144, #12104, #12095, #12083, @​harupy; #12160, @​aravind-segu; #11990, @​kriscon-db; #12178, #12176, #12090, #12036, @​sunishsheth2009; #12162, #12110, #12088, #11937, #12075, @​daniellok-db; #12133, #12131, @​prithvikannan; #12132, #12035, @​annzhang-db; #12121, #12120, @​liangz1; #12122, #12094, @​dbczumar; #12098, #12055, @​mparkhe

2.13.0 (2024-05-20)

MLflow 2.13.0 includes several major features and improvements

With this release, we're happy to introduce several features that enhance the usability of MLflow broadly across a range of use cases.

Major Features and Improvements:

  • Streamable Python Models: The newly introduced predict_stream API for Python Models allows for custom model implementations that support the return of a generator object, permitting full customization for GenAI applications.

  • Enhanced Code Dependency Inference: A new feature for automatically inferrring code dependencies based on detected dependencies within a model's implementation. As a supplement to the code_paths parameter, the introduced infer_model_code_paths option when logging a model will determine which additional code modules are needed in order to ensure that your models can be loaded in isolation, deployed, and reliably stored.

... (truncated)

Commits
  • de95337 Run python3 dev/update_mlflow_versions.py pre-release ... (#12270)
  • e14c7cf Suppress trace display while loading model-as-code langchain model that inclu...
  • 96e51a7 Avoid importing mlflow.gateway at the top level of mlflow.deployment modu...
  • 80c0b6e Silence traces when logging langchain models (#12210)
  • 231740f Call _flatten_nested_params only when model_config is truthy (#12214)
  • 0e4c4f5 Use unique temp dir for model code (#12223)
  • f097aff Rename environment variables to not include "DATABRICKS" (#12260)
  • b79c425 Add alternative package names for RAG to requirements exclusion validation (#...
  • 68db950 Mock dbutils when loading model code path (#12226)
  • fd8fb05 Ignore databricks_rag_studio in package mismatch (#12231)
  • Additional commits viewable in compare view


Updates werkzeug from 1.0.1 to 3.0.3

Release notes

Sourced from werkzeug's releases.

3.0.3

This is the Werkzeug 3.0.3 security release, which fixes security issues and bugs but does not otherwise change behavior and should not result in breaking changes.

PyPI: https://pypi.org/project/Werkzeug/3.0.3/ Changes: https://werkzeug.palletsprojects.com/en/3.0.x/changes/#version-3-0-3 Milestone: https://github.com/pallets/werkzeug/milestone/35?closed=1

  • Only allow localhost, .localhost, 127.0.0.1, or the specified hostname when running the dev server, to make debugger requests. Additional hosts can be added by using the debugger middleware directly. The debugger UI makes requests using the full URL rather than only the path. GHSA-2g68-c3qc-8985
  • Make reloader more robust when "" is in sys.path. #2823
  • Better TLS cert format with adhoc dev certs. #2891
  • Inform Python < 3.12 how to handle itms-services URIs correctly, rather than using an overly-broad workaround in Werkzeug that caused some redirect URIs to be passed on without encoding. #2828
  • Type annotation for Rule.endpoint and other uses of endpoint is Any. #2836

3.0.2

This is a fix release for the 3.0.x feature branch.

3.0.1

This is a security release for the 3.0.x feature branch.

3.0.0

This is a feature release, which includes new features, removes previously deprecated code, and adds new deprecations. The 3.0.x branch is now the supported fix branch, the 2.3.x branch will become a tag marking the end of support for that branch. We encourage everyone to upgrade, and to use a tool such as pip-tools to pin all dependencies and control upgrades. Test with warnings treated as errors to be able to adapt to deprecation warnings early.

2.3.8

This is a security release for the 2.3.x feature branch.

2.3.7

This is a fix release for the 2.3.x feature branch.

dependabot[bot] commented 3 months ago

Superseded by #102.