Google AutoML Tables Connected System

Overview

Google AutoML Tables Connected System plug-in provides a way to use Google's Table Analytics capabilities to make predictions on structured data and keep models up to date.

Key Features & Functionality

The plug-in provides a wide range of functionality including:

• Creating a dataset
• Importing data into a dataset (supports import from Google Storage or Google Big Data)
• Get process status
• Get table metadata
• Setting a target column for prediction
• Updating a column configuration
• Creating and training a model from a dataset
• Publishing and unpublishing a model
• Making a prediction
• Getting and listing evaluation metrics for a model
• Listing datasets and models
• Deleting datasets and models
• Getting target column id
• Getting and setting weight columns

NOTE: Training and prediction cost money and require a GCP account with a service account enabled for billing in order to use these services. Training data must be loaded into Google Storage that MUST have US-Central1 as its region.

For full details, see https://cloud.google.com/automl-tables/