Description
Create machine learning systems using Blueprints. Choose from three machine learning algorithms; Classification, Regression, and Dynamic Timewarp. Build a training set by recording your input parameters, train the model with the accumulated examples, and then use the outputs of the running model to drive any in-engine systems or effects you like.
Teach the machine to recognize your movements and controls, and use it to drive your interactive experiences. InteractML was funded by an Epic Megagrant and is entirely open source.
Potential applications include:
Demo video of it in action
Technical Details
Details:
Code Modules:
Number of Blueprints: 0 (code only), 4 main custom node types, several support nodes, and functions.
Number of C++ Classes (public): 16 (Runtime), 8 (Scripting), 5 (Editor)
Network Replicated: N/A
Supported Development Platforms: Win64
Supported Target Build Platforms: Win64
Documentation: InteractML Wiki
Example Project: InteractML on Github
Supported Engine Versions
4.25 – 4.27, 5.0 – 5.2
