smooth_image.py

from sklearn.svm import SVR

def smooth_image(x, y, z, w=100, h=100, model=SVR()):
    X = np.vstack((x, y)).T
    model.fit(X, z)
    x, y = np.meshgrid(
        np.linspace(x.min(), x.max(), w),
        np.linspace(y.min(), y.max(), h)
    )
    x = x.flatten()
    y = y.flatten()
    xs = np.vstack((x, y)).T
    zs = model.predict(xs)
    zs = zs.reshape((w, h))
    return zs