Looker

Marketplace

Develop for Marketplace

Actions

Train Models in Amazon Sagemaker

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

Overview

Install this action for free by enabling it in your in-product Admin > Actions Page, or by contacting your Looker admin.

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.

Related Content

Google Analytics Data Import

Enrich Google Anaytics users, hits, or sessions with data and insights from Looker using Google Analytics Data Import.Actions

Send to Google Cloud Storage

Upload data to Google Cloud Storage for further analysis.Actions

© 2021 Looker Data Sciences, Inc.
Privacy | Terms | Cookies