SECRET (Stochasticity Emulator for Cosmic Ray Electrons) models the flux of cosmic-ray electrons using machine-learning density estimation techniques. The code represents the joint probability distribution of electron spectra across cosmic-ray transport parameter space using masked autoregressive models. This approach enables interpolation of predicted spectra for different propagation conditions without running a full numerical simulation for each parameter set. SECRET can therefore accelerate studies of cosmic-ray electron spectra and facilitate comparisons between theoretical models and observational data.