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.
To turn this Action on, go to Admin > Actions, or ask your Looker Administrator for assistance.
Send Looker content to the Dropbox file-hosting service.
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