Train Models in Amazon Sagemaker

Use Amazon Sagemaker to predict, forecast, or classify data points using machine learning algorithms on Looker data.

This Action allows you to send the results of a Looker query to train a model for regression or classification using XGBoost or Linear Learner, or to perform predictions on the results of a Looker query using a previously trained model. The Action has three components:

• Amazon Sagemaker Train: XGBoost - trains an ML model with the XGBoost algorithm for regression, binary, or multiclass classification using the output from a Looker query.

• Amazon Sagemaker Train: Linear Learner - trains an ML model with the Linear Learner algorithm for regression, binary, or multiclass classification using the output from a Looker query.

• Amazon Sagemaker Infer - runs a batch inference job using an existing Sagemaker ML model for target prediction against the output from a Looker query.