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Implemented first draft of script compile_lda_runs.R.
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| # Compile the LDA runs for one data set into a single .RData file. | ||
| library(tools) | ||
| library(stringr) | ||
| library(tm) | ||
| library(topicmodels) | ||
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| # Combine results from all files of the form lda-*.rds in this | ||
| # directory. | ||
| out.dir <- "../output/nips/rds" | ||
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| # List all the RDS files containing the model fits. | ||
| files <- Sys.glob(file.path(out.dir,"lda-*.rds")) | ||
| n <- length(files) | ||
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| # Set up two data structures: "fits", a list used to store all the | ||
| # results; and "dat", a data frame summarizing the model parameters | ||
| # and optimization settings used to produce these fits. | ||
| fits <- vector("list",n) | ||
| labels <- files | ||
| labels <- str_remove(labels,paste(out.dir,"/",sep = "")) | ||
| labels <- str_remove(labels,".rds") | ||
| names(fits) <- labels | ||
| dat <- data.frame(label = labels, | ||
| k = 0, | ||
| method = "", | ||
| extrapolate = FALSE, | ||
| stringsAsFactors = FALSE) | ||
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| # Load the results from the RDS files. | ||
| for (i in 1:n) { | ||
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| out <- readRDS(files[i]) | ||
| fits[[i]] <- out$lda | ||
| dat[i,"k"] <- out$lda@k | ||
| dat[i,"method"] <- unlist(strsplit(labels[i],"-"))[3] | ||
| dat[i,"extrapolate"] <- grepl("ex",labels[i],fixed = TRUE) | ||
| } | ||
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| # Reorder the results in "fits" and "dat". | ||
| dat <- transform(dat,method = factor(method,c("em","scd"))) | ||
| i <- with(dat,order(k,extrapolate,method)) | ||
| dat <- dat[i,] | ||
| fits <- fits[i] | ||
| rownames(dat) <- NULL | ||
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| # Convert the "k" column to a factor. | ||
| dat <- transform(dat,k = factor(k)) | ||
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| # Save the combined results to an .RData file. | ||
| save(list = c("dat","fits"), | ||
| file = "lda.RData") | ||
| resaveRdaFiles("lda.RData") |
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