julian.kunkel
/
mistral-io-datasets
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Parameter name changes (min_sim -> sim_param)

This commit is contained in:
Eugen Betke 2020-08-26 12:36:58 +02:00
parent 99505661f6
commit 996a6cfa42
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
scripts/plot-performance-clustering.R
View File

@ -7,8 +7,8 @@ require(scales)
data = read.csv("datasets/clustering_progress.csv") data = read.csv("datasets/clustering_progress.csv")
e = data %>% filter(min_sim %in% c(0.1, 0.5, 0.99)) e = data %>% filter(sim_param %in% c(0.1, 0.5, 0.99))
e$percent = paste("SIM =", as.factor(round(e$min_sim*100,0)), " %") e$percent = paste("SIM =", as.factor(round(e$sim_param*100,0)), " %")
# Development when adding more jobs # Development when adding more jobs
ggplot(e, aes(x=jobs_done, y=elapsed, color=alg_name)) + geom_point() + facet_grid(percent ~ .) + ylab("Cummulative runtime in s") + xlab("Jobs processed") + scale_y_log10() + theme(legend.position = "bottom") ggplot(e, aes(x=jobs_done, y=elapsed, color=alg_name)) + geom_point() + facet_grid(percent ~ .) + ylab("Cummulative runtime in s") + xlab("Jobs processed") + scale_y_log10() + theme(legend.position = "bottom")
@ -16,6 +16,6 @@ ggsave("fig/runtime-cummulative.png", width=6, height=4.5)
# Bar chart for the maximum # Bar chart for the maximum
e = data %>% filter(jobs_done >= (jobs_total - 9998)) e = data %>% filter(jobs_done >= (jobs_total - 9998))
e$percent = as.factor(round(e$min_sim*100,0)) e$percent = as.factor(round(e$sim_param*100,0))
ggplot(e, aes(y=elapsed, x=percent, fill=alg_name)) + geom_bar(stat="identity") + facet_grid(. ~ alg_name, switch = 'y') + scale_y_log10() + theme(legend.position = "none") + ylab("Runtime in s") + xlab("Minimum similarity in %") + geom_text(aes(label = round(elapsed,0), angle = 90, y=0*(elapsed)+20)) ggplot(e, aes(y=elapsed, x=percent, fill=alg_name)) + geom_bar(stat="identity") + facet_grid(. ~ alg_name, switch = 'y') + scale_y_log10() + theme(legend.position = "none") + ylab("Runtime in s") + xlab("Minimum similarity in %") + geom_text(aes(label = round(elapsed,0), angle = 90, y=0*(elapsed)+20))
ggsave("fig/runtime-overview.png", width=7, height=2) ggsave("fig/runtime-overview.png", width=7, height=2)