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build(deps): bump google-cloud-aiplatform from 1.42.1 to 1.51.0#170

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build(deps): bump google-cloud-aiplatform from 1.42.1 to 1.51.0#170
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Bumps google-cloud-aiplatform from 1.42.1 to 1.51.0.

Release notes

Sourced from google-cloud-aiplatform's releases.

v1.51.0

1.51.0 (2024-05-10)

Features

  • Add FeatureGroup create function (3938107)
  • Add FeatureGroup init/get (e47d436)
  • Add support for BaseModels in LangChain templates (5eb885e)
  • Added the vision_models.Image._mime_type property to make vision_models.Image compatible with generative_models.Image (6557d88)
  • AutoSxS Pairwise Metric in Rapid Evaluation SDK (b0c5eda)
  • GenAI - Grounding - Released Google Web Search retriever to GA (32b030a)
  • GenAI - Tuning - Supervised - Added support for the adapter_size parameter (88188d2)
  • LLM - Made the tuning location parameters truly optional (bae8429)
  • LLM - Support tuning of new text embedding models by migrating to the new v1.1.3 pipeline. (7fea754)
  • LLM - Text embedding - Added the output_dimensionality and learning_rate_multiplier parameters to text embedding tuning (Preview only) (cc8bc96)
  • LLM - Text Embedding - Added validation for text embedding tuning parameters. (5a300c1)
  • Release Ray on Vertex SDK to GA (f7c5132)
  • Support custom service account for Ray cluster creation and Ray Client connection (e0c6227)
  • Support vector_distance_threshold filtering and file-based retrieval for RAG (cd85d8f)

Bug Fixes

  • A bug in the evaluation library where the job crashes if only custom metrics are specified. (c528b6f)
  • Add DeprecationWarning to vertexai.preview predictive models SDK (3c3727b)
  • Add MAX_TOKENS to the list of successful finish reasons for Rapid Evaluation SDK (195c77e)
  • AttributeError for TorchModelSerializer.deserialize in torch >=2.3.0 (20b1866)
  • GenAI - Fixed handling of multiple tools in AutomaticFunctionCallingResponder (58e6ac9)
  • Remove InternalServerError and Unknown evaluation service error from retriable exceptions (12c147b)
  • Upload the reference model in model registry (510c833)

v1.50.0

1.50.0 (2024-05-02)

Features

  • Add Candidate.grounding_metadata property (b22a8b8)
  • Add option to not include time_series_metrics in get_experiment_df call. This will improve execution time for Experiments with large number of runs. (78a95c5)
  • Add tune_model and deploy_tuned_model for TextEmbeddingModel. (42f5d6f)
  • Automatically populate parents for full resource name in Vertex RAG SDK (26657ff)
  • Deploy a tuned text embedding model -- it doesn't matter, if it's tuned using Node.js, or curl. (8ca9cdf)
  • Make get_embeddings work both for foundational & tuned models. (b8b589c)
  • Python SDK for Vertex Model Monitoring V2. (021d59f)
  • Support public endpoint for Ray Client (57a5f78)

Bug Fixes

... (truncated)

Changelog

Sourced from google-cloud-aiplatform's changelog.

1.51.0 (2024-05-10)

Features

  • Add FeatureGroup create function (3938107)
  • Add FeatureGroup init/get (e47d436)
  • Add support for BaseModels in LangChain templates (5eb885e)
  • Added the vision_models.Image._mime_type property to make vision_models.Image compatible with generative_models.Image (6557d88)
  • AutoSxS Pairwise Metric in Rapid Evaluation SDK (b0c5eda)
  • GenAI - Grounding - Released Google Web Search retriever to GA (32b030a)
  • GenAI - Tuning - Supervised - Added support for the adapter_size parameter (88188d2)
  • LLM - Made the tuning location parameters truly optional (bae8429)
  • LLM - Support tuning of new text embedding models by migrating to the new v1.1.3 pipeline. (7fea754)
  • LLM - Text embedding - Added the output_dimensionality and learning_rate_multiplier parameters to text embedding tuning (Preview only) (cc8bc96)
  • LLM - Text Embedding - Added validation for text embedding tuning parameters. (5a300c1)
  • Release Ray on Vertex SDK to GA (f7c5132)
  • Support custom service account for Ray cluster creation and Ray Client connection (e0c6227)
  • Support vector_distance_threshold filtering and file-based retrieval for RAG (cd85d8f)

Bug Fixes

  • A bug in the evaluation library where the job crashes if only custom metrics are specified. (c528b6f)
  • Add DeprecationWarning to vertexai.preview predictive models SDK (3c3727b)
  • Add MAX_TOKENS to the list of successful finish reasons for Rapid Evaluation SDK (195c77e)
  • AttributeError for TorchModelSerializer.deserialize in torch >=2.3.0 (20b1866)
  • GenAI - Fixed handling of multiple tools in AutomaticFunctionCallingResponder (58e6ac9)
  • Remove InternalServerError and Unknown evaluation service error from retriable exceptions (12c147b)
  • Upload the reference model in model registry (510c833)

1.50.0 (2024-05-02)

Features

  • Add Candidate.grounding_metadata property (b22a8b8)
  • Add option to not include time_series_metrics in get_experiment_df call. This will improve execution time for Experiments with large number of runs. (78a95c5)
  • Add tune_model and deploy_tuned_model for TextEmbeddingModel. (42f5d6f)
  • Automatically populate parents for full resource name in Vertex RAG SDK (26657ff)
  • Deploy a tuned text embedding model -- it doesn't matter, if it's tuned using Node.js, or curl. (8ca9cdf)
  • Make get_embeddings work both for foundational & tuned models. (b8b589c)
  • Python SDK for Vertex Model Monitoring V2. (021d59f)
  • Support public endpoint for Ray Client (57a5f78)

Bug Fixes

  • Add deprecation warnings when using Ray v2.4 (3a36784)
  • Append allowed_plugins in tb-gcp-uploader to default allowed plugins (aab9c3e)

... (truncated)

Commits
  • 2ed7a55 chore(main): release 1.51.0 (#3742)
  • 32b030a feat: GenAI - Grounding - Released Google Web Search retriever to GA
  • 12c147b fix: remove InternalServerError and Unknown evaluation service error from ret...
  • 58e6ac9 fix: GenAI - Fixed handling of multiple tools in `AutomaticFunctionCallingRes...
  • 5a300c1 feat: LLM - Text Embedding - Added validation for text embedding tuning param...
  • cb8b10f feat: GenAI - Added response_style to GenerationConfig
  • f7c5132 feat: Release Ray on Vertex SDK to GA
  • c528b6f fix: a bug in the evaluation library where the job crashes if only custom met...
  • 6557d88 feat: Added the vision_models.Image._mime_type property to make `vision_mod...
  • e0c6227 feat: Support custom service account for Ray cluster creation and Ray Client ...
  • Additional commits viewable in compare view

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Bumps [google-cloud-aiplatform](https://github.com/googleapis/python-aiplatform) from 1.42.1 to 1.51.0.
- [Release notes](https://github.com/googleapis/python-aiplatform/releases)
- [Changelog](https://github.com/googleapis/python-aiplatform/blob/main/CHANGELOG.md)
- [Commits](googleapis/python-aiplatform@v1.42.1...v1.51.0)

---
updated-dependencies:
- dependency-name: google-cloud-aiplatform
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels May 10, 2024
@github-actions github-actions Bot enabled auto-merge May 10, 2024 20:56
@sonarqubecloud

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Quality Gate Passed Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
No data about Coverage
No data about Duplication

See analysis details on SonarCloud

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New and removed dependencies detected. Learn more about Socket for GitHub ↗︎

Package New capabilities Transitives Size Publisher
pypi/google-cloud-aiplatform@1.51.0 environment, eval, filesystem, network, shell, unsafe 0 71.4 MB gcloudpypi, google_opensource

🚮 Removed packages: pypi/google-cloud-aiplatform@1.42.1, pypi/google-cloud-aiplatform@1.42.1

View full report↗︎

@dependabot @github

dependabot Bot commented on behalf of github May 21, 2024

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Superseded by #174.

@dependabot dependabot Bot closed this May 21, 2024
auto-merge was automatically disabled May 21, 2024 20:58

Pull request was closed

@dependabot dependabot Bot deleted the dependabot/pip/google-cloud-aiplatform-1.51.0 branch May 21, 2024 20:58
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