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 more information, see All AutoML training documentation.

AutoML Training operators

The Google Cloud Pipeline Components SDK includes the following operators related to AutoML model resource creation:

• AutoMLImageTrainingJobRunOp
• AutoMLTextTrainingJobRunOp
• AutoMLTabularTrainingJobRunOp
• AutoMLVideoTrainingJobRunOp
• AutoMLForecastingTrainingJobRunOp

Learn more about training and using your own AutoML models.

Dataset operators

The Dataset operators prepare the data for training in Vertex AI. For more details about specific data type dataset information, see Train and use your own models.

The Google Cloud Pipeline Components SDK includes the following operators related to AutoML dataset resource management:

• GetVertexDatasetOp
• ImageDatasetCreateOp
• ImageDatasetExportDataOp
• TabularDatasetCreateOp
• TabularDatasetExportDataOp
• TextDatasetCreateOp
• TextDatasetImportDataOp
• TextDatasetExportDataOp
• VideoDatasetCreateOp
• VideoDatasetImportDataOp
• VideoDatasetExportDataOp
• ImageDatasetImportDataOp
• TimeSeriesDatasetCreateOp
• TimeSeriesDatasetExportDataOp

API reference

• For AutoML component reference, see the google_cloud_pipeline_components SDK reference.

• For Dataset component reference, see the google_cloud_pipeline_components SDK reference.

• For Vertex AI API reference, see the Dataset resource and TrainingPipeline resource pages.

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].