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.