Followup:
If we want to get at the document vectors after training, I think
that, from reading the code here:
https://github.com/piskvorky/gensim/blob/develop/gensim/models/doc2vec.py#L254
that you want to get at the model's 'docvecs' attribute. We know it's
a DocvecArray because it is as
>> I'm getting the vocab fine with my code but I can't seem to figure out how
>> to print out the individual sentence vectors, I have looked through the
>> documentation and haven't found much help. Here is what my code looks like
>> so far.
It appears that you're asking this question on Stack Ove
On 17/08/15 18:50, Joshua Valdez wrote:
Okay, so I'm trying to use Doc2Vec to simply read in a a file that is a
list of sentences like this:
This list us for folks learning the core Pyhton lanmguage and the
standard library.
Doc2Vec is not part of that library so you might find you get more
r
Okay, so I'm trying to use Doc2Vec to simply read in a a file that is a
list of sentences like this:
#
The elephant flaps its large ears to cool the blood in them and its body.
A house is a permanent building or structure for people or families to live
in.
#
What I want to do is generate t
