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<!-- | ||
If your issue is a usage or a general question, please submit it here instead: | ||
- Mailing List: https://groups.google.com/forum/#!forum/gensim | ||
For more information, see Recipes&FAQ: https://github.com/RaRe-Technologies/gensim/wiki/Recipes-&-FAQ | ||
--> | ||
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<!-- Instructions For Filing a Bug: https://github.com/RaRe-Technologies/gensim/blob/develop/CONTRIBUTING.md --> | ||
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#### Description | ||
TODO: change commented example | ||
<!-- Example: Vocabulary size is not what I expected when training Word2Vec. --> | ||
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#### Steps/Code/Corpus to Reproduce | ||
<!-- | ||
Example: | ||
``` | ||
from gensim.models import word2vec | ||
sentences = ['human', 'machine'] | ||
model = word2vec.Word2Vec(sentences) | ||
print(model.syn0.shape) | ||
``` | ||
If the code is too long, feel free to put it in a public gist and link | ||
it in the issue: https://gist.github.com | ||
--> | ||
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#### Expected Results | ||
<!-- Example: Expected shape of (100,2).--> | ||
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#### Actual Results | ||
<!-- Example: Actual shape of (100,5). | ||
Please paste or specifically describe the actual output or traceback. --> | ||
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#### Versions | ||
<!-- | ||
Please run the following snippet and paste the output below. | ||
import platform; print(platform.platform()) | ||
import sys; print("Python", sys.version) | ||
import numpy; print("NumPy", numpy.__version__) | ||
import scipy; print("SciPy", scipy.__version__) | ||
import gensim; print("gensim", gensim.__version__) | ||
from gensim.models import word2vec;print("FAST_VERSION", word2vec.FAST_VERSION) | ||
--> | ||
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<!-- Thanks for contributing! --> | ||
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