Houman

Thank you for responding so quickly. Here's a simple example: ``` python # true parameters true_parameters = np.array((10, 16, 16, 1.8, 1.5, 10), dtype=np.float32) initial_parameters_ = np.array((10, 16, 16, 1.3,...

I tested this code a long time ago, however, I think the outcome was more inaccurate in the presence of noisy data.

It is not necessary to preserve backward compatibility. We only need to check CPU/GPU configuration can read this new version and initialize all variables in this class. It would be...

Thank you for bringing up this issue. The variance between the statistic website and the dynamic version can arise due to the regular updates applied to the dynamic version, while...

Thank you for reporting these issues. Let me address your concerns point by point: Memory Usage in Parallel Processing: Running code in parallel generally requires more memory. Even though you...