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

• CvTrainerOp
• EnsembleOp
• FinalizerOp
• InfraValidatorOp
• SplitMaterializedDataOp
• Stage1TunerOp
• StatsAndExampleGenOp
• TrainingConfiguratorAndValidatorOp
• TransformOp

Operators related to AutoML model resource creation

• AutoMLForecastingTrainingJobRunOp
• AutoMLImageTrainingJobRunOp
• AutoMLTabularTrainingJobRunOp
• AutoMLTextTrainingJobRunOp
• AutoMLVideoTrainingJobRunOp

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

• Learn how to use the Google Cloud pipeline components to train an image classification model using Vertex AI AutoML.
• Learn how to use the Google Cloud pipeline components to train a classification model using tabular data and Vertex AI AutoML.
• Learn how to use the Google Cloud pipeline components to train a linear regression model using tabular data and Vertex AI AutoML.
• Learn how to use the Google Cloud pipeline components to train a text classification model using Vertex AI AutoML.
• Learn how to use the Google Cloud pipeline components to upload and deploy a model.

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 [e-mail].