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In the latest version of scipy, logsumexp has been moved scipy.misc to scipy.special.
There also seems to be some change in functionality as this line in bayan_sigma caused a ValueError: 'object arrays are not supported' for coli in output_str_multimodel.columns.get_level_values(0): output_str[coli] = logsumexp(logweights_2d+output_str_multimodel[coli],axis=1)
I found that this could be prevented by adding [0] after logweights_2d, although I'm not sure if similar changes need to be made for other calls to logsumexp.
The text was updated successfully, but these errors were encountered:
I also made the same change, additionally I found I had to ensure the arguments were a non-masked array as for some reason the code thought the data was masked (it had no reason to be though! and none of my input data was masked):
site-packages/scipy/_lib/_util.py in _asarray_validated(a, check_finite, sparse_ok, objects_ok, mask_ok, as_inexact)
283 if not mask_ok:
284 if np.ma.isMaskedArray(a):
--> 285 raise ValueError('masked arrays are not supported')
286 toarray = np.asarray_chkfinite if check_finite else np.asarray
287 a = toarray(a)
ValueError: masked arrays are not supported
To make it work, I had to change the line 420 to (with the .data):
output_str[coli] = logsumexp(logweights_2d[0].data+output_str_multimodel[coli].values,axis=1)
In the latest version of scipy, logsumexp has been moved scipy.misc to scipy.special.
There also seems to be some change in functionality as this line in bayan_sigma caused a ValueError: 'object arrays are not supported'
for coli in output_str_multimodel.columns.get_level_values(0): output_str[coli] = logsumexp(logweights_2d+output_str_multimodel[coli],axis=1)
I found that this could be prevented by adding [0] after logweights_2d, although I'm not sure if similar changes need to be made for other calls to logsumexp.
The text was updated successfully, but these errors were encountered: