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gibbs-sampling

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rwalk
rwalk commented Feb 10, 2017

The constructor for GSDMM with signature:

pub fn new(alpha:f64, beta:f64, K: usize, maxit:isize, vocab:HashSet<String>, docs:Vec<Vec<String>>) -> GSDMM

consumes the docs and vocab objects. This means that user will need to make copies of the data if they wish to use either of these vectors in subsequent processing.

Should be simple to refactor the interface to borrow these instea

Built text and image clustering models using unsupervised machine learning algorithms such as nearest neighbors, k means, LDA , and used techniques such as expectation maximization, locality sensitive hashing, and gibbs sampling in Python

  • Updated Jan 20, 2018
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