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Added some exploratory scripts to determine which results to focus on…
… in the paper.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,27 @@ | ||
| library(fastTopics) | ||
| library(cowplot) | ||
| set.seed(1) | ||
| k <- 10 | ||
| load("../data/newsgroups.RData") | ||
| fit1 <- readRDS("../output/newsgroups/rds/fit-newsgroups-em-k=10.rds")$fit | ||
| fit2 <- readRDS("../output/newsgroups/rds/fit-newsgroups-scd-ex-k=10.rds")$fit | ||
| cor(fit1$L,fit2$L) | ||
| n <- nrow(fit1$L) | ||
| rows <- sample(n,2000) | ||
| fit1 <- select_loadings(fit1,rows) | ||
| fit2 <- select_loadings(fit2,rows) | ||
| tsne <- tsne_from_topics(fit1,dims = 1,verbose = FALSE) | ||
| p1 <- structure_plot(fit1,loadings_order = order(tsne[,1]),topics = 1:k, | ||
| grouping = topics[rows]) | ||
| p2 <- structure_plot(fit2,loadings_order = order(tsne[,1]),topics = 1:k, | ||
| grouping = topics[rows]) | ||
| plot_grid(p1,p2,nrow = 2,ncol = 1) | ||
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| lda1 <- readRDS("../output/newsgroups/rds/lda-newsgroups-em-k=10.rds")$lda | ||
| lda2 <- readRDS("../output/newsgroups/rds/lda-newsgroups-scd-ex-k=10.rds")$lda | ||
| cor(lda1@gamma,lda2@gamma) | ||
| p3 <- structure_plot(lda1@gamma[rows,],loadings_order = order(tsne[,1]), | ||
| topics = 1:k) | ||
| p4 <- structure_plot(lda2@gamma[rows,],loadings_order = order(tsne[,1]), | ||
| topics = 1:k) | ||
| plot_grid(p1,p2,p3,p4,nrow = 4,ncol = 1) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,24 @@ | ||
| library(fastTopics) | ||
| library(cowplot) | ||
| set.seed(1) | ||
| k <- 11 | ||
| fit1 <- readRDS("../output/pbmc68k/rds/fit-pbmc68k-em-k=11.rds")$fit | ||
| fit2 <- readRDS("../output/pbmc68k/rds/fit-pbmc68k-scd-ex-k=11.rds")$fit | ||
| cor(fit1$L,fit2$L) | ||
| n <- nrow(fit1$L) | ||
| rows <- sample(n,2000) | ||
| fit1 <- select_loadings(fit1,rows) | ||
| fit2 <- select_loadings(fit2,rows) | ||
| tsne <- tsne_from_topics(fit1,dims = 1,verbose = FALSE) | ||
| p1 <- structure_plot(fit1,loadings_order = order(tsne[,1]),topics = 1:k) | ||
| p2 <- structure_plot(fit2,loadings_order = order(tsne[,1]),topics = 1:k) | ||
| plot_grid(p1,p2,nrow = 2,ncol = 1) | ||
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| lda1 <- readRDS("../output/pbmc68k/rds/lda-pbmc68k-em-k=11.rds")$lda | ||
| lda2 <- readRDS("../output/pbmc68k/rds/lda-pbmc68k-scd-ex-k=11.rds")$lda | ||
| cor(lda1@gamma,lda2@gamma) | ||
| p3 <- structure_plot(lda1@gamma[rows,],loadings_order = order(tsne[,1]), | ||
| topics = 1:k) | ||
| p4 <- structure_plot(lda2@gamma[rows,],loadings_order = order(tsne[,1]), | ||
| topics = 1:k) | ||
| plot_grid(p1,p2,p3,p4,nrow = 4,ncol = 1) |