Cannot install gensim

[Pi lou]

Hi !

I'm using winpython 3.5 with spyder. Numpy is 1.11.3 ; scipy is 0.19.1 and six is >= 1.5.0

I couldn't install gensim, i tried with this : https://github.com/RaRe-Technologies/gensim/blob/develop/setup.py#L290

I launch it and I had : typeError: chown() missing 1 required positional argument: 'numeric_owner'

Even on a 2.7 Python, tried to execute the first part of the gensim tutorial : Corpora and vector spaces until line : >>> dictionary = corpora.Dictionary(texts)

>>> dictionary.save('/tmp/deerwester.dict')  # store the dictionary, for future reference
>>> print(dictionary)
Dictionary(12 unique tokens)

i have this error : rom ._ufuncs import (ellipkm1, mathieu_a, mathieu_b, iv, jv, gamma, psi, zeta,

ImportError: DLL load failed: Le module spécifié est introuvable.

How can i do ? Thanks for answering

[Ivan Menshikh]

Hi, Pi,

i have this error : rom ._ufuncs import (ellipkm1, mathieu_a, mathieu_b, iv, jv, gamma, psi, zeta,

ImportError: DLL load failed: Le module spécifié est introuvable.

 

Please try to re-install numpy and scipy.

I'm using winpython 3.5 with spyder. Numpy is 1.11.3 ; scipy is 0.19.1 and six is >= 1.5.0

I couldn't install gensim, i tried with this : https://github.com/RaRe-Technologies/gensim/blob/develop/setup.py#L290

I launch it and I had : typeError: chown() missing 1 required positional argument: 'numeric_owner'

Try to update your `setuptools`, after it install gensim

pip install --upgrade setuptools
pip install . # in gensim root folder

[Pi lou]

Hi Ivan, thanks a lot for answering. I successfully installed gensim by downloading files. I have many errors but I had a simple question : by following the tutorial (https://radimrehurek.com/gensim/tut1.html), will I be able to do word comparision as the famous exaple king man queen woman in the W2V presentation by using a bigger corpus ?

and if it's possible, which part of the algorithm have I to copy ?

(Please excuse my english, i'm french :) )

[Gordon Mohr]

This tutorial shows all the steps:

https://rare-technologies.com/word2vec-tutorial/

IIRC, even just the 'text8' corpus (as downloaded by the original word2vec.c code via the URL shown at <https://github.com/tmikolov/word2vec/blob/master/demo-word.sh>) can be enough to learn the man:king :: woman: _?_ analogy. (But it might require the slightly-larger `enwik9.zip` corpus, linked at <http://mattmahoney.net/dc/textdata>.)

- Gordon

[Pi lou]

Thank you very much for the Link. 

Big step forward for me. Have I to paste each lines ? I have few bugs but think i'll ask Radim directly if i can't get through during the day :)

Otherwise, how can I read the zip folder with my python file ?

[Pi lou]

Unfortunately, the enwik9.zip file can't be openend (i use winZip). Do you have other corpus of this size ? It would be awesome :)

Le lundi 10 juillet 2017 17:08:32 UTC+2, Gordon Mohr a écrit :

[Gordon Mohr]

I've downloaded & uncompressed that file more than once; are you sure your download got the full 322,592,222 bytes? If not, try again?

- Gordon

[Pi lou]

I tried twice :/ i cannot open the folder.  do you have another link ?

Thank you very much

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[Gordon Mohr]

No, but I've just downloaded the enwik9.zip file successfully - it resulted in a 322,592,222 byte file, and uncompressed fine into a 1,000,000,000 byte file. So any problem with downloading/expanding must be specific to your system/network. 

- Gordon

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[Pi lou]

Hi gordon, I succeed in downloading enwik9 (big achievement i know..) but I cannot use model = Word2Vec.load_word2vec_format('enwik9.txt', binary=False)

==> 'Word2Vec' is not defined.

When i have downloaded enwik9.zip. what have I to do ?

Thank you a lot for your help

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[Gordon Mohr]

That's a file of text that can be used to train Word2Vec, in the style of the tutorial mentioned earlier (or other tutorials you can find on the web). It's not a vector set you could load with `load_word2vec_format()`. 

Please consult other online or local sources carefully for more help with these basics – these tiny blocks and misunderstandings are not something it's practical to walk you through on a discussion mailing list. 

- Gordon