How to interpret the iteration and the log likelihood statistics of the Parallel LDA output in Topic Modeling
a similar question has already been answered here: number of iterations in the Topic Extractor node
In short, the log likelihood value for each iteration can be interpreted as a convergence score of the algorithm. Once the log likelihood does not change anymore, that means that these number of iterations are enough to extract the topics from the dataset.
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