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Description
Hi - I installed ProNE (python 2.7) and was able to train embeddings for the PPI example with the command:
python proNE.py -graph data/PPI.ungraph -emb1 emb/PPI_sparse.emb -emb2 emb/PPI_spectral.emb
-dimension 128 -step 10 -theta 0.5 -mu 0.2
However, when applied on my own data it ran into the following exception. Appreciate any advice what went wrong. The input is about 50MB so I don't know how to share it for debugging. Thanks much in advance.
Traceback (most recent call last):
File "proNE.py", line 178, in
main()
File "proNE.py", line 157, in main
model = ProNE(args.graph, args.emb1, args.emb2, args.dimension)
File "proNE.py", line 31, in init
matrix0[e[0], e[1]] = 1
File "/home/m1234567/miniconda2/lib/python2.7/site-packages/scipy/sparse/lil.py", line 332, in setitem
self.rows, self.data, i, j, x)
File "_csparsetools.pyx", line 63, in scipy.sparse._csparsetools.lil_insert
File "_csparsetools.pyx", line 89, in scipy.sparse._csparsetools.lil_insert
IndexError: column index (17654) out of bounds