Hi everyone!
Right now, I am trying to port Jun Zhu's MedLDA model in Python, which is a
deterministic topic model.
In the original code, the author used SVMLight, and scikit-learn uses Lib
SVM, so I have some problems get things done.
1. Is there any way in scikit-learn to get the document number for
thesupport vector?
Since classification is not my sole purpose, document number is quite
curcial for the topic modeling stage. I looked over the reference section
on the scikit-learn website, but couldn't find how to get the doc number
for support vectors.
2. Another problem concerns the dual coefficients, in the documents,
dual_coef_ which holds the product *y_i * alpha_i*. Right now, I want to
get alpha_i, is it OK that i just use *dual_coef_ / **y_i* to get *
alpha_i* ?
Thank you very much!
--
θζΊε (Zhibo Xiao) / Sean | Ph.D. candidate of Machine Learning & Data Mining
Room 106, Information School, Dalian Maritime University, Dalian, China,
116026
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