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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, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,533
RM Data Scientist
Hi @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
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MarlaBot
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MartinLiebig Administrator, Moderator, Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,533
RM Data Scientist
- Sr. Director Data Solutions, Altair RapidMiner -
Dortmund, Germany1 -
MartinLiebig Administrator, Moderator, Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,533
RM Data Scientist
Sorry? I don't understand the question. The LDA we use internally is from Mallet. The operator executes similar code to whats shown here:What would you expect?Best,Martin
- Sr. Director Data Solutions, Altair RapidMiner -
Dortmund, Germany0
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