[jegonzal]

This is a work in progress implementation of the collapsed Gibbs sampler for the LDA model using the GraphX abstraction primitives. While this is based on the (non-ergodic) bulk synchronous Gibbs sampler, we do exploit local parameter sharing and if document vertex partitioning is used we recover the Newman et al. style sampler.

Remaining tasks:

• Unite tests
• Raw document processing
• Likelihood calculation (requires log gamma transcendental functions)

[AmplabJenkins]

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[dcrankshaw]

Can you make this a separate named function?

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