# Ignition with Machine Learning **URL:** \ **Category:** Ignition Exchange\ **Created:** [April 9, 2026, 9:25pm UTC](https://forum.inductiveautomation.com/t/ignition-with-machine-learning/114993 "2026-04-09T21:25:43Z")\ **Posts on this page:** 4\ **Page:** 1
**Author:** ![kennethandradeom](https://avatars.discourse-cdn.com/v4/letter/k/3e96dc/32.png) [@kennethandradeom](https://forum.inductiveautomation.com/u/kennethandradeom)\ **Post date:** [April 9, 2026, 9:25pm UTC](https://forum.inductiveautomation.com/t/ignition-with-machine-learning/114993/1 "2026-04-09T21:25:43Z")
Hi, my name is Kenneth, I am working with Ignition Machine Learning Manager and I have historical tag data (temperature and humidity) collected over several months. My goal is to build a model that can predict future values (for example, predicting temperature 10 minutes ahead) based on current and past data. Currently, I am able to: - Retrieve tag history data - Train a regression model (OLS Multiple Linear Regression) However, I am unsure about the correct way to structure the dataset for time-based predictions. So I am working and creating models with this Ignition Machine Learning Manager What type of algorithm can I use to train a model entirely within Ignition, without depending on external systems? What I need is to create a trained model that can be read directly by Ignition or through a tag, and use it to visualize or predict values some time into the future—for example, 10 minutes ahead of real-time data. I believe this could be achieved using the Machine Learning Manager by creating and deploying a model within Ignition itself. Could you please guide me on the best approach or recommended algorithms for this use case? Any help would be greatly appreciated. Thank you in advance. [![image](https://us1.discourse-cdn.com/inductiveautomation/original/3X/0/9/09014b2d970443b76ff27e588117cd4e9d0e7794.png)](https://us1.discourse-cdn.com/inductiveautomation/original/3X/0/9/09014b2d970443b76ff27e588117cd4e9d0e7794.png "image") [![image](https://us1.discourse-cdn.com/inductiveautomation/original/3X/f/8/f811ca401f8c94a62279ce315452b4c996088a7e.jpeg)](https://us1.discourse-cdn.com/inductiveautomation/original/3X/f/8/f811ca401f8c94a62279ce315452b4c996088a7e.jpeg "image") ---
**Author:** ![ryan.white](https://sea1.discourse-cdn.com/inductiveautomation/user_avatar/forum.inductiveautomation.com/ryan.white/32/73193_2.png) [@ryan.white](https://forum.inductiveautomation.com/u/ryan.white)\ **Post date:** [April 9, 2026, 9:27pm UTC](https://forum.inductiveautomation.com/t/ignition-with-machine-learning/114993/2 "2026-04-09T21:27:36Z")
Double posting is against the forum's rules. Give your first post some time to simmer. If you haven't heard anything in a few days then you can self bump your post. The people here are volunteers and respond in their free time. ---
**Author:** ![paul-griffith](https://sea1.discourse-cdn.com/inductiveautomation/user_avatar/forum.inductiveautomation.com/paul-griffith/32/37249_2.png) [@paul-griffith](https://forum.inductiveautomation.com/u/paul-griffith)\ **Post date:** [April 9, 2026, 9:55pm UTC](https://forum.inductiveautomation.com/t/ignition-with-machine-learning/114993/3 "2026-04-09T21:55:10Z")
Closed on April 9, 2026, 9:55pm UTC ---
**Author:** ![paul-griffith](https://sea1.discourse-cdn.com/inductiveautomation/user_avatar/forum.inductiveautomation.com/paul-griffith/32/37249_2.png) [@paul-griffith](https://forum.inductiveautomation.com/u/paul-griffith)\ **Post date:** [April 9, 2026, 9:55pm UTC](https://forum.inductiveautomation.com/t/ignition-with-machine-learning/114993/4 "2026-04-09T21:55:27Z")
Picking [Ignition Machine Learning](https://forum.inductiveautomation.com/t/ignition-machine-learning/114992) as the winner