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Implementation of various topic models

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my concern is to add new documents out of the training set, then after natural processing applying relational topic model to measure the similarity between these documents. is there any...

Can you explain how to create the list giving the links between documents for the RTM model. In the RTM example notebook it was imported directly without any explanation and...

It should be lambda_v instead of lambda_u at initialization of matrix V(line 50).

Hi, @dongwookim-ml I am going to use the RTM model, however, I am not able to understand the datatype. Can you provide what datatype RTM expects, so that I would...

Hi arongdari, I meet a problem when use your source code named “at_model.py” . In the seventh line, `from six.moves import xrange` , ![default](https://user-images.githubusercontent.com/25915372/34147388-73a55f9a-e4d8-11e7-835d-78546e854313.png) So could you tell me what...

Requires to make a test code for each model.

I have to add some regularizer term to the likelihood equation containing beta terms. I am unable to figure out from the code which part of the code does the...

Hi, maybe you should provide a way to set the loglevel when creating a model. Or an additional getter/setter pair. Thanks in advance.

In the notebooks in `python-topic-model/notebook/`, there are no small examples provided of how to infer the topic distribution for a new document or for the documents that the model was...