Posted On: Jun 9, 2022
Starting today, you can invoke SageMaker Autopilot from SageMaker Data Wrangler to automatically train, tune and build machine learning models. SageMaker Data Wrangler reduces the time to aggregate and prepare data for machine learning (ML) from weeks to minutes. SageMaker Autopilot automatically builds, trains, and tunes the best machine learning models based on your data, while allowing you to maintain full control and visibility. Previously, customers used Data Wrangler to prepare their data for machine learning and Autopilot for training machine learning models independently. With this unified experience, you can now prepare your data in SageMaker Data Wrangler and easily export to SageMaker Autopilot for model training. With just a few clicks, you can automatically build, train, and tune machine learning models, making it easier to automatically employ state-of-the-art feature engineering techinques, train high quality machine learning models, and gain insights from your data faster.
To prepare data for Machine learning, select File > New Flow from SageMaker Studio. After preparing your data in SageMaker Data Wrangler, You can either preview your prepared data and choose “Export and Train”, or click + next to the node in data flow and select “Train model”. This lets you initiate training and model building in SageMaker Autopilot.
This new experience is now available in all regions where both SageMaker Data Wrangler and SageMaker Autopilot are available. To get started, see Automatically Train Models on Your Data Flow or review the blog post. To learn more, visit the SageMaker Data Wrangler product page and SageMaker Autopilot product page.