Library extracted from the MalliavinDescent.ipynb notebook. Core functions live in src/malliavin_regression/. Examples moved to examples/.
pip install "git+https://github.com/ElMehdiHaress/MalliavinRegression.git"
import malliavin_regression as mr
d = mr.generate_data(50, 20, noise_var=1, name_model="sinus", show=False)
print(type(d))python examples/demo.py
src/malliavin_regression/ # library code (no top-level execution)
examples/ # runnable demos
Learning in Hilber spaces.pdf #theory
tests/ # minimal pytest
MIT