pyro-ppl/pyro

Add tutorial on Dirichlet Process Mixture Models

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#880 opened on Mar 11, 2018

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 (5 comments) (2 reactions) (0 assignees)Python (8,211 stars) (981 forks)batch import
Examplesgood first issuehelp wanted

Description

See https://forum.pyro.ai/t/variational-inference-for-dirichlet-process-clustering/98 for extended discussion .

It would be nice to make this work with data subsampling.

Contributor guide

Tech stack
pythonpytorch
Domain
documentationmachine learning
Issue type
documentation
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
3-5 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
Basic understanding of Dirichlet processesFamiliarity with PyroPython knowledge
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
40
Research direction
Review the forum discussion at https://forum.pyro.ai/t/variational inference for dirichlet process clustering/98 for context and implementation details. Examine existing tutorials in the Pyro repository (e.g., in tutorials/source/) to understand the expected format. The issue mentions making it work with data subsampling, so focus on that aspect. No pull requests are linked; gather additional feedback from comments if needed.