TypeError: 'float' object cannot be interpreted as an index

[michal-pikusa]

Hi, I tried running your code, and got this error message:

Reading word 11690000
Unknown vocab size: 68558
Total words in training file: 11690125
Total bytes in training file: 85775698
Vocab size: 45151
Initializing unigram table
Traceback (most recent call last):
File "word2vec.py", line 388, in
args.min_count, args.num_processes, bool(args.binary))
File "word2vec.py", line 354, in train
table = UnigramTable(vocab)
File "word2vec.py", line 175, in __init__
table = np.zeros(table_size, dtype=np.uint32)
TypeError: 'float' object cannot be interpreted as an index`

I can't figure out how to fix it. Could you look into it? Thanks.

[bughunter99]

Hi, using below : table_size = np.uint32(1e8) # Length of the unigram table

[michal-pikusa]

Thanks a lot. Now it's working.

[eduOS]

@michal-pikusa Acturally if you noticed the following requirement in this repo you would have not got stuck by this issue:

Written in Python 2.7.6 and NumPy 1.9.1.