Bump mlflow from 1.16.0 to 2.5.0 in /apps/mlflow-model-downloader

Bumps mlflow from 1.16.0 to 2.5.0.

Release notes

MLflow 2.5.0 includes several major features and improvements:

[MLflow AI Gateway] We are excited to announce the release of MLflow AI Gateway, a powerful tool designed to streamline the usage and management of various large language model (LLM) providers, such as OpenAI and Anthropic, within an organization. It offers a standardized interface that simplifies the interaction with these services and delivers centralized, secure management of credentials. To get started with MLflow AI Gateway, check out the docs at https://mlflow.org/docs/latest/gateway/index.html. (#8694, @harupy, @BenWilson2, @dbczumar)

[Auth] We are excited to announce the release of authentication and authorization support for MLflow Tracking and the MLflow Model Registry, providing integrated access control capabilities to both services. To get started, check out the docs at https://mlflow.org/docs/latest/auth/index.html. (#9000, #8975, #8626, #8837, #8841, @gabrielfu, @harupy)

Features:

[Models] Add Support to the LangChain flavor for chains that contain unserializable components (#8736, @liangz1)

[Scoring] Infer spark udf return type from model output schema (#8934, @WeichenXu123)

[Models] Add support for automated signature inference (#8860, #8782 #8795, #8725, @jerrylian-db)

Bug fixes:

[Security] Improve robustness to LFI attacks on Windows by enhancing path validation (#8999, @serena-ruan)

If you are using mlflow server or mlflow ui on Windows, we recommend upgrading to MLflow 2.5.0 as soon as possible.

[Scoring] Support nullable array type values as spark_udf return values (#9014, @WeichenXu123)

[Models] Revert cache deletion of system modules when adding custom model code to the system path (#8722, @trungn1)

[Models] add micro version to mlflow version pinning (#8687, @C-K-Loan)

[Artifacts] Prevent manually deleted artifacts from causing artifact garbage collection to fail (#8498, @PenHsuanWang)

Documentation updates:

[Docs] Update .push_model_to_sagemaker docs (#8851, @pdifranc)

[Docs] Fix invalid link for Azure ML documentation (#8800, @dunnkers)

[Artifacts / Docs / Models / Projects] Adds information on the OCI MLflow plugins for seamless integration with Oralce Cloud Infrastructure services. (#8707, @mrDzurb)

Deprecation:

[Models] Deprecate the gluon model flavor. The mlflow.gluon module will be removed in a future release. (#8968, @harupy)

Small bug fixes and documentation updates:

#9069, #9056, #9055, #9054, #9048, #9043, #9035, #9034, #9037, #9038, #8993, #8966, #8985, @BenWilson2; #9039, #9036, #8902, #8924, #8866, #8861, #8810, #8761, #8544, @jerrylian-db; #8903, @smurching; #9080, #9079, #9078, #9076, #9075, #9074, #9071, #9063, #9062, #9032, #9031, #9027, #9023, #9022, #9020, #9005, #8994, #8979, #8983, #8984, #8982, #8970, #8962, #8969, #8968, #8959, #8960, #8958, #8956, #8955, #8954, #8949, #8950, #8952, #8948, #8946, #8947, #8943, #8944, #8916, #8917, #8933, #8929, #8932, #8927, #8930, #8925, #8921, #8873, #8915, #8909, #8908, #8911, #8910, #8907, #8906, #8898, #8893, #8889, #8892, #8891, #8887, #8875, #8876, #8882, #8874, #8868, #8872, #8869, #8828, #8852, #8857, #8853, #8854, #8848, #8850, #8840, #8835, #8832, #8831, #8830, #8829, #8839, #8833, #8838, #8819, #8814, #8825, #8818, #8787, #8775, #8749, #8766, #8756, #8753, #8751, #8748, #8744, #8731, #8717, #8730, #8691, #8720, #8723, #8719, #8688, #8721, #8715, #8716, #8718, #8696, #8698, #8692, #8693, #8690, @harupy; #9030, @AlimurtuzaCodes; #9029, #9025, #9021, #9013, @viktoriussuwandi; #9010, @Bncer; #9011, @Pecunia201; #9007, #9003, @EdAbati; #9002, @prithvikannan; #8991, #8867, @AveshCSingh; #8951, #8896, #8888, #8849, @gabrielfu; #8913, #8885, #8871, #8870, #8788, #8772, #8771, @serena-ruan; #8879, @maciejskorski; #7752, @arunkumarkota; #9083, #9081, #8765, #8742, #8685, #8682, #8683, @dbczumar; #8791, @mhattingpete; #8739, @yunpark93

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)

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.5.0 (2023-07-17)

MLflow 2.5.0 includes several major features and improvements:

[MLflow AI Gateway] We are excited to announce the release of MLflow AI Gateway, a powerful tool designed to streamline the usage and management of various large language model (LLM) providers, such as OpenAI and Anthropic, within an organization. It offers a standardized interface that simplifies the interaction with these services and delivers centralized, secure management of credentials. To get started with MLflow AI Gateway, check out the docs at https://mlflow.org/docs/latest/gateway/index.html. (#8694, @harupy, @BenWilson2, @dbczumar)

[Auth]: We are excited to announce the release of authentication and authorization support for MLflow Tracking and the MLflow Model Registry, providing integrated access control capabilities to both services. To get started, check out the docs at https://mlflow.org/docs/latest/auth/index.html. (#9000, #8975, #8626, #8837, #8841, @gabrielfu, @harupy)

Features:

[Models] Add Support to the LangChain flavor for chains that contain unserializable components (#8736, @liangz1)

[Scoring] Infer spark udf return type from model output schema (#8934, @WeichenXu123)

[Models] Add support for automated signature inference (#8860, #8782 #8795, #8725, @jerrylian-db)

Bug fixes:

[Security] Improve robustness to LFI attacks on Windows by enhancing path validation (#8999, @serena-ruan)

If you are using mlflow server or mlflow ui on Windows, we recommend upgrading to MLflow 2.5.0 as soon as possible.

[Scoring] Support nullable array type values as spark_udf return values (#9014, @WeichenXu123)

[Models] Revert cache deletion of system modules when adding custom model code to the system path (#8722, @trungn1)

[Models] add micro version to mlflow version pinning (#8687, @C-K-Loan)

[Artifacts] Prevent manually deleted artifacts from causing artifact garbage collection to fail (#8498, @PenHsuanWang)

Documentation updates:

[Docs] Update .push_model_to_sagemaker docs (#8851, @pdifranc)

[Docs] Fix invalid link for Azure ML documentation (#8800, @dunnkers)

[Artifacts / Docs / Models / Projects] Adds information on the OCI MLflow plugins for seamless integration with Oralce Cloud Infrastructure services. (#8707, @mrDzurb)

Deprecation:

[Models] Deprecate the gluon model flavor. The mlflow.gluon module will be removed in a future release. (#8968, @harupy)

Small bug fixes and documentation updates:

#9069, #9056, #9055, #9054, #9048, #9043, #9035, #9034, #9037, #9038, #8993, #8966, #8985, @BenWilson2; #9039, #9036, #8902, #8924, #8866, #8861, #8810, #8761, #8544, @jerrylian-db; #8903, @smurching; #9080, #9079, #9078, #9076, #9075, #9074, #9071, #9063, #9062, #9032, #9031, #9027, #9023, #9022, #9020, #9005, #8994, #8979, #8983, #8984, #8982, #8970, #8962, #8969, #8968, #8959, #8960, #8958, #8956, #8955, #8954, #8949, #8950, #8952, #8948, #8946, #8947, #8943, #8944, #8916, #8917, #8933, #8929, #8932, #8927, #8930, #8925, #8921, #8873, #8915, #8909, #8908, #8911, #8910, #8907, #8906, #8898, #8893, #8889, #8892, #8891, #8887, #8875, #8876, #8882, #8874, #8868, #8872, #8869, #8828, #8852, #8857, #8853, #8854, #8848, #8850, #8840, #8835, #8832, #8831, #8830, #8829, #8839, #8833, #8838, #8819, #8814, #8825, #8818, #8787, #8775, #8749, #8766, #8756, #8753, #8751, #8748, #8744, #8731, #8717, #8730, #8691, #8720, #8723, #8719, #8688, #8721, #8715, #8716, #8718, #8696, #8698, #8692, #8693, #8690, @harupy; #9030, @AlimurtuzaCodes; #9029, #9025, #9021, #9013, @viktoriussuwandi; #9010, @Bncer; #9011, @Pecunia201; #9007, #9003, @EdAbati; #9002, @prithvikannan; #8991, #8867, @AveshCSingh; #8951, #8896, #8888, #8849, @gabrielfu; #8913, #8885, #8871, #8870, #8788, #8772, #8771, @serena-ruan; #8879, @maciejskorski; #7752, @arunkumarkota; #9083, #9081, #8765, #8742, #8685, #8682, #8683, @dbczumar; #8791, @mhattingpete; #8739, @yunpark93

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)

... (truncated)

Commits

9ee9f4e Run python3 dev/update_mlflow_versions.py pre-release ... (#9093)
0235cc8 Fix IntegrityError handling in amind user creation (#9090)
d137caf Run blacken-docs in autoformat workflow (#9082)
3bec11b Add missing __init__.py files (#9089)
aca9980 Fix the default value of candidate_count (#9088)
bc0d21e Gateway: Improve documentation for query parameters (#9083)
e293a73 Gateway docs tweaks / improvements (#9081)
5a8e4a1 Run gateway workflow on push (#9080)
7ce907c Fix texts to text (#9079)
2cc56da Fix curl examples in gateway docs (#9078)
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InfuseAI / primehub

Bump mlflow from 1.16.0 to 2.5.0 in /apps/mlflow-model-downloader #723

2.5.0 (2023-07-17)

2.4.2 (2023-07-10)