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Latent Dirichlet Allocation - Iterations?
Hi RapidMiner team,
I'm rather new to LDA and am a bit confused to what exactly the iterations parameter refers to since the description says "Number of iterations for optimization". However, as far as I understood it, the operator uses Gibbs sampling where the number of iterations should be set as well. Is it set using the iterations parameter or has the parameter something to do with optimizing the hyperparameters (whereby the input field does not disappear if I uncheck the hyperparameter optimization)?
Thanks in advance!
Thanks in advance!
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MartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,531 RM Data ScientistHi @Soni,you are absultely right. its the number of sampling steps in Gibbs Sampling and is effectivly a hyper parameter of LDA.Best,Martin- Sr. Director Data Solutions, Altair RapidMiner -
Dortmund, Germany6
Answers
MarlaBot
Dortmund, Germany
Thank you for the quick response. I tried analyzing the data using LDA, but I did not see an option for Gibbs Sampling. Would you be able to direct me to where I can find that inside the LDA operator?
Best,
Rich
Dortmund, Germany