Gemini Enterprise Agent Platform 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 Gemini Enterprise Agent Platform Dataset which becomes the training input, upload the Model to Gemini Enterprise Agent Platform, and evaluate the Model. For information about AutoML training in Agent Platform, see the AutoML training documentation. For information about Cloud de Confiance by S3NS Pipeline Components related to datasets, see Dataset components.

The Cloud de Confiance by S3NS 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

Learn more about training and using your own AutoML models.

API reference

• For AutoML component reference, see the Cloud de Confiance by S3NS SDK reference for AutoML components.

• For Agent Platform API reference, see the following API reference pages:

  • Dataset resource

  • TrainingPipeline resource

Tutorials

• Learn how to use the Cloud de Confiance pipeline components to train an image classification model using Gemini Enterprise Agent Platform AutoML.
• Learn how to use the Cloud de Confiance pipeline components to train a classification model using tabular data and Gemini Enterprise Agent Platform AutoML.
• Learn how to use the Cloud de Confiance pipeline components to train a linear regression model using tabular data and Gemini Enterprise Agent Platform AutoML.
• Learn how to use the Cloud de Confiance pipeline components to train a text classification model using Gemini Enterprise Agent Platform AutoML.
• Learn how to use the Cloud de Confiance pipeline components to upload and deploy a model.

Version history and release notes

To learn more about the version history and changes to the Cloud de Confiance by S3NS Pipeline Components SDK, see the Cloud de Confiance by S3NS Pipeline Components SDK Release Notes.

Technical support contacts

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