Displaying 3 results from an estimated 3 matches for "tgood".
Did you mean:
good
2009 Jun 22
1
How to make try to catch warnings in logistic glm
...warn")
options(warn= 1)
outcome<-rep(c("G","B"), times=c(ngood, nbad))
outcome<-as.factor(outcome)
agood<-rep(c(0,1), times=c(27,1))
abad<-rep(c(0,1), times=c(14,7))
thgood<-rep(c(0,1), times=c(24,4))
thbad<-rep(c(0,1), times=c(12,9))
for (i in 1:nsim)
{
?tgood<-sample(agood, ngood)
?tbad<-sample(abad, nbad)
?hstop<-c(tgood, tbad)
?hstop<-as.factor(hstop)
?aldgood<-rnorm(ngood, mean=54, sd=8/0.675)
?aldbad<-rnorm(nbad, mean=64, sd=8/0.675)
?ald<-c(aldgood, aldbad)
?fatgood<-exp(rnorm(ngood, mean=log(23.9)-0.06^2/2,sd=0.06))
?fatbad...
2014 Jan 28
3
[LLVMdev] MergeFunctions: reduce complexity to O(log(N))
Hi Stepan,
Sorry for the delay. It's great that you are working on MergeFunctions
as well and I agree, we should definitely try to combine our efforts to
improve MergeFunctions.
Just to give you some context, the pass (with the similar function
merging patch) is already being used in a production setting. From my
point of view, it would be better if we focus on improving its
capability
2014 Jan 30
3
[LLVMdev] MergeFunctions: reduce complexity to O(log(N))
....ll 7 16845 0 0.01 16826 0 0.01 16826
testloop.ll 1 49203 0 0.01 49170 0 0.01 49170
TestLoop.ll 2 3938 0 0.01 3929 0 0.01 3929
testtrace.ll 3 7048 0 0.01 7036 0 0.01 7036
textloc.ll 13 155311 0 0.02 155289 0 0.02 155289
tf.ll 7 10532 0 0.01 10503 0 0.01 10503
tg.ll 2 22589 0 0.01 22560 0 0.01 22560
tgood.ll 9 106366 0 0.02 106335 0 0.01 106335
threading.ll 0 452 0 0.01 423 0 0.01 423
Threads.ll 17 20611 1 0.01 19977 1 0.01 19977
throw_rethrow_test.ll 5 14502 0 0.01 14483 0 0.01 14483
ti.ll 3 16281 0 0.01 16252 0 0.01 16252
time.ll 1 1170 0 0.01 1149 0 0.00 1149
Time.ll 6 10667 0 0.00 10639 0 0.00 1...