[jira] [Closed] (MADLIB-1351) Add stopping criteria on perplexity to LDA

["Frank McQuillan (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MADLIB-1351?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Frank McQuillan closed MADLIB-1351.
-----------------------------------
    Resolution: Fixed

> Add stopping criteria on perplexity to LDA
> ------------------------------------------
>
>                 Key: MADLIB-1351
>                 URL: https://issues.apache.org/jira/browse/MADLIB-1351
>             Project: Apache MADlib
>          Issue Type: Improvement
>          Components: Module: Parallel Latent Dirichlet Allocation
>            Reporter: Frank McQuillan
>            Assignee: Himanshu Pandey
>            Priority: Major
>             Fix For: v1.17
>
>          Time Spent: 14h 50m
>  Remaining Estimate: 0h
>
> In LDA 
> http://madlib.apache.org/docs/latest/group__grp__lda.html
> make stopping criteria on perplexity rather than just number of iterations.
> Suggested approach is to do what scikit-learn does
> https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.LatentDirichletAllocation.html
> evaluate_every : int, optional (default=0)
> How often to evaluate perplexity. Set it to 0 or negative number to not evaluate perplexity in training at all. Evaluating perplexity can help you check convergence in training process, but it will also increase total training time. Evaluating perplexity in every iteration might increase training time up to two-fold.
> perplexity_tol : float, optional (default=1e-1)
> Perplexity tolerance to stop iterating. Only used when evaluate_every is greater than 0.



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