WASP — WAvelet System Prediction

Upload a CSV file (or use the built-in demo dataset), configure wavelet parameters, and run the WASP pipeline.
The FastAPI backend will decompose your predictors using Discrete Wavelet Transform, identify predictive frequency bands, modulate variance, and return spectrally refined predictions with evaluation metrics.

First column = predictand · 1–50 predictors · 30–5000 complete numeric rows