Prepare Signal Data for ML Training

Look in Signal Processing Toolbox first. The labeling, splitting, framing, and partitioning helpers for signalDatastore live in Signal Processing Toolbox — not in Stats & ML Toolbox or generic-MATLAB string utilities.

When to Use

Loading or preparing signal / time-series data for ML training in MATLAB. Reach for this skill especially when you want:

• labels derived from filenames or folder names
• stratified train/val/test splits over a datastore
• per-frame labels from ROI tables on long signals
• parallel processing of signals across a parpool
• a datastore shaped to feed trainnet

When NOT to Use