Forked version of gensim

I understand that in order to use pretrained word embeddings to train the doc2vec models, we should install your forked version of gensim. However, I have failed to configure it properly with a C compiler. (MINGW in my case, could be BLAS etc.) I’m on windows and am using Anaconda.

I tried installing straight from setup.py, using pip, and even created a conda package and installed using that. Each time, I did succeed in installing the forked version of gensim.

However, every time I tried the following commands in a python shell-

>>> import gensim
>>> gensim.models.word2vec.FAST_VERSION

…the output was a -1. This meant that training would be very, very slow. (70 times slower iirc.)

How do I get your version and still retain the link to the C compiler? (If I install the current distributed version using conda install gensim, it is linked to my MINGW.)

[chaitjo]

Hey @drussellmrichie. I’m obviously not 100% sure about this, but here’s what I think I did 1.5 years ago:

1. Installed gensim normally (not @jhlau’s fork) so that it used the desired C compiler.
2. Manually edited the two files in the package by copying the changes made here: https://github.com/jhlau/gensim/commits/develop
3. It worked!

Hope it helps!

[jhlau]

Hi, this isn’t a forked version issue. Please post it on the canonical gensim forum.