kcarnold
commented
13 years ago The problem was that no concepts were above the cutoff. I've patched the symptom in both Luminoso and Divisi2, but the real solution is to make the cutoff relative, which will have to wait.
sgt101
Hi,
I think this is happening because my study is too sparse and nothing is being successfully extracted.
Some specific diagnostic error would be good as well as the dump.
Warning: Sorry, an internal error occurred. Could you please send the authors the text below and a brief note about what you were doing? Thanks! Traceback (most recent call last): File "/home/sgt101/luminoso/luminoso/window.py", line 301, in analyze results = self.study_dir.analyze() File "/home/sgt101/luminoso/luminoso/study.py", line 704, in analyze results = study.analyze() File "/home/sgt101/luminoso/luminoso/study.py", line 432, in analyze docs, projections, Sigma = self.get_eigenstuff() File "/home/sgt101/luminoso/luminoso/study.py", line 310, in get_eigenstuff theblend, study_concepts = self.get_blend() File "/home/sgt101/luminoso/luminoso/study.py", line 246, in get_blend return self.get_assoc_blend() File "/home/sgt101/luminoso/luminoso/study.py", line 289, in get_assoc_blend doc_matrix = self.get_documents_assoc() File "/home/sgt101/luminoso/luminoso/study.py", line 242, in get_documents_assoc return divisi2.SparseMatrix.square_from_named_entries(entries).squish() File "/usr/local/lib/python2.6/dist-packages/csc/divisi2/sparse.py", line 449, in square_from_named_entries return SparseMatrix.square_from_named_lists(_zip(_tuples)) TypeError: square_from_named_lists() takes at least 3 arguments (0 given)