kaknikhil commented on a change in pull request #432: MADLIB-1351 : Added
stopping criteria on perplexity to LDA
URL: https://github.com/apache/madlib/pull/432#discussion_r333279341
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File path: src/ports/postgres/modules/lda/lda.sql_in
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@@ -212,6 +220,10 @@ lda_train( data_table,
<dt>beta</dt>
<dd>DOUBLE PRECISION. Dirichlet prior for the per-topic
word multinomial (e.g., 0.01 is a reasonable value to start with).</dd>
+ <dt>evaluate_every</dt>
+ <dd>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.</dd>
+ <dt>perplexity_tol</dt>
+ <dd>float, optional (default=1e-1). Perplexity tolerance to stop
iterating. Only used when evaluate_every is greater than 0.</dd>
Review comment:
maybe @fmcquillan99 can add a more verbose explanation here.
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