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authorLoic Guegan <manzerbredes@mailbox.org>2022-11-18 12:01:22 +0100
committerLoic Guegan <manzerbredes@mailbox.org>2022-11-18 12:01:22 +0100
commit28f7d30725378c7ffffd7ef7e4aa2f98ac592ee5 (patch)
treed4ac74496b471d33376fbbb3223ef2ae20876f13 /analysis/learning.R
parent51ca3092d81fee2eba3ac108e695271427c92f26 (diff)
Update
Diffstat (limited to 'analysis/learning.R')
-rw-r--r--analysis/learning.R4
1 files changed, 2 insertions, 2 deletions
diff --git a/analysis/learning.R b/analysis/learning.R
index c8c61b8..cb8a3b4 100644
--- a/analysis/learning.R
+++ b/analysis/learning.R
@@ -80,7 +80,7 @@ constraints=apply(inputs,1,function(row){
min_coverage=min((data_seed%>%filter(wireless==wi,wakeupfor==wa))$coverage)
max_coverage=max((data_seed%>%filter(wireless==wi,wakeupfor==wa))$coverage)
## Generate random points (10 per scenarios)
- n=10
+ n=20
current_inputs=tibble(
wireless=rep(wi,n),
wakeupfor=rep(wa,n),
@@ -96,7 +96,7 @@ constraints=apply(inputs,1,function(row){
tree_final=tibble(cbind(current_inputs,tibble(simkey=predictions_tree,model="tree")))
rbind(knn_final,tree_final)
})
-inputs=do.call("rbind",constraints)
+inputs=do.call("rbind",constraints)%>%distinct()
## Dimension Energy/Coverage
ggplot(data_seed%>%mutate(wakeupfor=as.character(wakeupfor)),
aes(coverage,energy,color=simkey))+geom_point()+