google-cloud-aiplatform 1.70.0

Vertex AI API client library

Stars: 629, Watchers: 629, Forks: 341, Open Issues: 348

The googleapis/python-aiplatform repo was created 4 years ago and the last code push was Yesterday.
The project is popular with 629 github stars!

How to Install google-cloud-aiplatform

You can install google-cloud-aiplatform using pip

pip install google-cloud-aiplatform

or add it to a project with poetry

poetry add google-cloud-aiplatform

Package Details

Author

Google LLC

License

Apache 2.0

Homepage

https://github.com/googleapis/python-aiplatform

PyPi:

https://pypi.org/project/google-cloud-aiplatform/

GitHub Repo:

https://github.com/googleapis/python-aiplatform

Classifiers

• Internet
• Software Development/Libraries/Python Modules

Related Packages

Errors

A list of common google-cloud-aiplatform errors.

Code Examples

Here are some google-cloud-aiplatform code examples and snippets.

GitHub Issues

The google-cloud-aiplatform package has 348 open issues on GitHub

• add additional_experiement flag in the tables and forecasting training job
• feat: add new fields to DatabaseInstance message in the cloud_sql_resources.proto and cleanup proto descriptions
• feat: enable ingest from pd.DataFrame
• fix: show logs when TFX pipelines are submitted
• fix: Fixed integration test for model.upload
• credentials file is unusable with prediction API
• tests.system.aiplatform.test_model_upload.TestModel: test_upload_and_deploy_xgboost_model failed
• [WIP] feat: Added scheduling to CustomTrainingJob, CustomPythonPackageTrainingJob, CustomContainerTrainingJob
• chore: use gapic-generator-python 0.60.0
• Remove logging.basicConfig from module level
• importing should not override logging config
• [Policy Bot] found one or more issues with this repository.
• feat: Open LIT with a deployed model
• feat: Added LocalModel for creating models with existing images and uploading models.
• Wildcard path(s) for the GCS tabular dataset are not working

See more issues on GitHub