Try Gemini 1.5 models, our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window. Try Gemini 1.5 models, our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window.

Vertex AI AutoML components

The AutoML TrainingPipeline resource orchestrates tasks associated with training an AutoML model. This resource always executes the training task, and optionally may also export data from a Vertex AI Dataset which becomes the training input, upload the Model to Vertex AI, and evaluate the Model. For information about AutoML training in Vertex AI, see the AutoML training documentation. For information about Google Cloud Pipeline Components related to datasets, see Dataset components.

The Google Cloud Pipeline Components SDK includes the following operators related to AutoML models and workflows:

Operators related to AutoML forecasting

ProphetTrainerOp

Operators related to AutoML Tabular models

Operators related to AutoML model resource creation

Learn more about training and using your own AutoML models.

API reference

For AutoML component reference, see the Google Cloud Pipeline Components SDK reference for AutoML components.
For Vertex AI API reference, see the following API reference pages:
- Dataset resource
- TrainingPipeline resource

Tutorials

Version history and release notes

To learn more about the version history and changes to the Google Cloud Pipeline Components SDK, see the Google Cloud Pipeline Components SDK Release Notes.

Technical support contacts

If you have any questions, reach out to kubeflow-pipelines-components@google.com.