igilitschenski / deep_bingham Goto Github PK

Hi there,

First of all, thank you for sharing this awesome work!

I can successfully generate lookup_-500_0_40.dill file but had problems creating *.rbf file due to memory issue. I have tried using a very beefy computer (50+ CPU cores and 100+Gb memory) but the problem persists. I understand this is more a scipy.interpolate.rbf issue but can you share how you were able to generate the *.rbf file?

More specifically, the error I got is pretty standard:

...
    self.interp_options["interp_data"]
  File "/usr/lib/python3/dist-packages/scipy/interpolate/rbf.py", line 200, in __init__
    r = self._call_norm(self.xi, self.xi)
  File "/usr/lib/python3/dist-packages/scipy/interpolate/rbf.py", line 231, in _call_norm
    return self.norm(x1, x2)
  File "/usr/lib/python3/dist-packages/scipy/interpolate/rbf.py", line 118, in _euclidean_norm
    return np.sqrt(((x1 - x2)**2).sum(axis=0))
  File "/usr/lib/python3/dist-packages/numpy/core/_methods.py", line 32, in _sum
    return umr_sum(a, axis, dtype, out, keepdims)
MemoryError

Also, I believe there is an extra trailing ) in this line https://github.com/igilitschenski/deep_bingham/blob/master/generate_lookup_table.py#L16.

Thank you!

I found a fantastic bingham_distribution file in your repo. But I didn't find the guidance to run it, especially bingham.fit part. I will occur to the error of when run bingham.fit.

1. AssertionError: param_m is not orthogonal.

and
2.

thanks for your code very much. but i cannot to find datasets/ryp_upna.

what time to release the code and experiment data？