Machine Learning Model Foundry screen
Full documentation coming soon.

Background and Setup
Examples
Prerequisites
- An AgilePoint license that supports ML Model Foundry.
- An AWS SageMaker account.
- A process-based app with an existing entity in AgilePoint NX Data Entities as the primary data source.
- AgilePoint NX OnDemand (public cloud), AgilePoint NX PrivateCloud, or AgilePoint NX OnPremises v10.0 or higher.
How to Start
- Open Process Builder.
For information about how to open this screen, refer to Process Builder.

- In Process Builder, click ML & AI > ML Model Foundry.

Get started with Machine Learning Model Foundry screen
Full documentation coming soon.

Overview screen
Full documentation coming soon.

Select your target and input fields screen
Full documentation coming soon.

Which records would you like to use to train machine learning prediction model screen
Full documentation coming soon.

Does this data preview look correct screen
Full documentation coming soon.

Where would you like to export training data to screen
Full documentation coming soon.

In which variable would you like to store prediction result screen
Full documentation coming soon.

Do you want to automate the machine learning prediction model creation screen
Full documentation coming soon.
