TobiasEl

Thanks for answer my question. Do you know an alternative way to create a NARX method based on LM? I found this implementation of LM in [https://github.com/fabiodimarco/tf-levenberg-marquardt](url) And here is...

Hi. Thanks for answer the question. I have tried both options, but neither works. The error remains the same: division by zero

I also write to fireTS library: [https://github.com/jxx123/fireTS/issues/13](url) It something about LM batch_size. I put it to 1: mdl1.fit(x, y, batch_size=1) And it pass the fit method. But the same error...

This is the code: ``` from fireTS.models import NARX import numpy as np from neupy import algorithms from neupy.layers import * from neupy.algorithms.base import Events # Random training data x...