Name the elements (LDA models) and set the class
(LDA_set
) of the models returned by LDA_set
.
package_LDA_set(mods, mod_topics, mod_seeds)
mods | Fitted models returned from |
---|---|
mod_topics | Vector of |
mod_seeds | Vector of |
lis
(class: LDA_set
) of LDA models (class:
LDA_VEM
).
# \donttest{ data(rodents) document_term_table <- rodents$document_term_table topics <- 2 nseeds <- 2 control <- LDA_set_control() mod_topics <- rep(topics, each = length(seq(2, nseeds * 2, 2))) iseed <- control$iseed mod_seeds <- rep(seq(iseed, iseed + (nseeds - 1)* 2, 2), length(topics)) nmods <- length(mod_topics) mods <- vector("list", length = nmods) for (i in 1:nmods){ LDA_msg(mod_topics[i], mod_seeds[i], control) control_i <- prep_LDA_control(seed = mod_seeds[i], control = control) mods[[i]] <- topicmodels::LDA(document_term_table, k = mod_topics[i], control = control_i) } package_LDA_set(mods, mod_topics, mod_seeds) # }