The doc2vec_pymongo from sindbach

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Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)

Python 100.00%

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doc2vec_pymongo's Issues

Issue saving model using logging package

When running

python ./modeller.py --db topics --coll movies --model example.model

I see this error

INFO : EPOCH - 10 : training on 105501 raw words (98608 effective words) took 0.2s, 516351 effective words/s
INFO : training on a 1055010 raw words (985881 effective words) took 2.0s, 504122 effective words/s
INFO : saving Doc2Vec object under example.model, separately None
INFO : saved example.model
INFO : precomputing L2-norms of doc weight vectors
--- Logging error ---
Traceback (most recent call last):
  File "/usr/local/Cellar/python/3.7.6_1/Frameworks/Python.framework/Versions/3.7/lib/python3.7/logging/__init__.py", line 1025, in emit
    msg = self.format(record)
  File "/usr/local/Cellar/python/3.7.6_1/Frameworks/Python.framework/Versions/3.7/lib/python3.7/logging/__init__.py", line 869, in format
    return fmt.format(record)
  File "/usr/local/Cellar/python/3.7.6_1/Frameworks/Python.framework/Versions/3.7/lib/python3.7/logging/__init__.py", line 608, in format
    record.message = record.getMessage()
  File "/usr/local/Cellar/python/3.7.6_1/Frameworks/Python.framework/Versions/3.7/lib/python3.7/logging/__init__.py", line 369, in getMessage
    msg = msg % self.args
TypeError: not all arguments converted during string formatting

Repeated many times.

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