Displaying 20 results from an estimated 59 matches for "step3".
Did you mean:
step
2012 Aug 27
2
simplest way (set of functions) to parse a file
...variables:
$ n : num 1 1 2 2
$ iter : num 1 2 1 2
$ step : Factor w/ 3 levels "Step 1","Step 2",..: 1 3 1 2
$ value: num 10 10 10 10
n=extracted from the file name "logdet_two_moons_n>>>>10<<<<.txt"
iter=iter
step=column Step1, Step2, Step3, Step4
value=value of the specific Step column
And this is one possible data frame variation to be able to plot the time proportions for the different steps of my algorithm.
TIA,
Best regards,
Giovanni
Iteration Jmin Error Elapsed Corral Duality Gap Step1 Step2 Step3 Step4
2 2 0.000000e+00 1.9...
2009 Mar 16
1
Transfers on an inter-PBX PRI link
Hi,
I am trying to understand why some of my call transfers fail.
My scenario is as follows:
Legacy PBX1 ---PRI (EuroISDN) Zaptel--- Asterisk PBX2
Step1: PBX1 extension 101 calls PBX2 extension 102
Step2: PBX2 extension 102 answers the call and transfers it to PBX1 extension 103
Step3: PBX1 extension 103 answers the call and transfers it to PBX2 extension 104
Step3 fails and extension 103 is reconnected to 101.
Why is Step3 failing and how could I change my setup so the transfer succeeds?
As a side question, I'd like to know if I could "free" the "unnecessa...
2011 Sep 09
2
NMDS plot and Adonis (PerMANOVA) of community composition with presence absence and relative intensity
...t to make a PerMANOVA analysis comparing the different treatments with
each other.
I tried to look at similar problems but I get error messages.
Any ideas?
#NMDS
step1<-read.delim2("day20.txt", row.names=1)
library(clusterSim)
step2<-data.Normalization(step1,type="n10")
step3<-asin(sqrt(step2))*57.3
step4<-t(step3)
library(vegan)
step5<-data.matrix(vegdist(step4,method="bray"))
step6<-metaMDS(step5, autotransform=FALSE)
plot(step5)
Warning message:
In ordiplot(x, choices = choices, type = type, display = display, :
Species scores not available...
2011 Nov 18
1
couting events by subject with "black out" windows
...nts that shouldn't be counted
step2$event <- ifelse(as.numeric(step2$Date) >= step2$Date.min & as.numeric(step2$Date) <= step2$Date30, 0, step2$event)
## basically repeat steps above until I get an error (no more events)
data3 <- step2[step2$event==1,]
data3<- data3[,1:3]
step3 <- summaryBy(Date~ID, data = data3, FUN=min)
step3$Date30 <- step3$Date.min+30
step4 <- merge(data3, step3, by.x="ID", by.y="ID")
step4$event <- ifelse(as.numeric(step4$Date) >= step4$Date.min & as.numeric(step4$Date) <= step4$Date30, 0, step4$event)
## ...
2009 Jun 03
2
Regular expression \ String Extraction help
...spaces in the Name. So far this is what i
have:
> txt <- '2009-04-10 1400 Fri Universities1.txt'
> step1 <- unlist(strsplit(txt, '\\.'))
> step2 <- unlist(strsplit(step1[1], ' '))
> Name <- gsub('[0-9]',replacement='', step2[4])
> step3 <- paste(step2[1], step2[2], step2[3], sep=' ')
> paste('C:\\test\\', Name, '\\', step3, '\\', txt, sep='' )
[1] "C:\\test\\Universities\\2009-04-10 1400 Fri\\2009-04-10 1400 Fri
Universities1.txt"
Cheers,
Tony Breyal
2017 Nov 20
4
Reg an issue with smoothing factor in VAD implementation
...gt; }
>
> /* square-root */
> speech_nrg = silk_SQRT_APPROX( speech_nrg );
> SA_Q15 = silk_SMULWB( 32768 + speech_nrg, SA_Q15 );
> }
>
> /* Smoothing coefficient */
> smooth_coef_Q16 = silk_SMULWB( VAD_SNR_SMOOTH_COEF_Q18, silk_SMULWB(
> (opus_int32)SA_Q15, SA_Q15 ) ); // step3: Update the smoothing factor based
> on speech probability : comment by me
>
> if( psEncC->frame_length == 10 * psEncC->fs_kHz ) {
> smooth_coef_Q16 >>= 1;
> }
>
> Here, in step1, Speech probability is calculated whose value is expected
> to be within [0, 1) in Q...
2010 Sep 30
1
Can this code be written more efficiently?
...lapply(1:nrow(mygrid), function(i) {
svm(churn.form, data = mytraindata,
method = "C-classification", kernel = "radial",
cost = mygrid[i,1], gamma = mygrid[i,2],
probability=TRUE)
})
### Predict on test set
pred.step3 <- numeric(length(svm.models))
for (i in 1:length(svm.models)) {
pred.step1 <- predict(svm.models[[i]], myvaliddata, decision.values = F,
probability=T)
pred.step2 <-
prediction(predictions=attr(pred.step1,"probabilities")[,1],
labels=myvaliddata$churn)
pred.st...
2017 Nov 27
3
Reg an issue with smoothing factor in VAD implementation
...= silk_LSHIFT_SAT32( speech_nrg, 15 );
}
/* square-root */
speech_nrg = silk_SQRT_APPROX( speech_nrg );
SA_Q15 = silk_SMULWB( 32768 + speech_nrg, SA_Q15 );
}
/* Smoothing coefficient */
smooth_coef_Q16 = silk_SMULWB( VAD_SNR_SMOOTH_COEF_Q18, silk_SMULWB( (opus_int32)SA_Q15, SA_Q15 ) ); // step3: Update the smoothing factor based on speech probability : comment by me
if( psEncC->frame_length == 10 * psEncC->fs_kHz ) {
smooth_coef_Q16 >>= 1;
}
Here, in step1, Speech probability is calculated whose value is expected to be within [0, 1) in Q15 format. Then based on the speec...
2017 Nov 20
0
Reg an issue with smoothing factor in VAD implementation
...= silk_LSHIFT_SAT32( speech_nrg, 15 );
}
/* square-root */
speech_nrg = silk_SQRT_APPROX( speech_nrg );
SA_Q15 = silk_SMULWB( 32768 + speech_nrg, SA_Q15 );
}
/* Smoothing coefficient */
smooth_coef_Q16 = silk_SMULWB( VAD_SNR_SMOOTH_COEF_Q18, silk_SMULWB( (opus_int32)SA_Q15, SA_Q15 ) ); // step3: Update the smoothing factor based on speech probability : comment by me
if( psEncC->frame_length == 10 * psEncC->fs_kHz ) {
smooth_coef_Q16 >>= 1;
}
Here, in step1, Speech probability is calculated whose value is expected to be within [0, 1) in Q15 format. Then based on the speec...
2018 Feb 16
1
Reg an issue with smoothing factor in VAD implementation
..._APPROX( speech_nrg );
> SA_Q15 = silk_SMULWB( 32768 + speech_nrg, SA_Q15 );
> }
>
> /* Smoothing coefficient */
> smooth_coef_Q16 = silk_SMULWB( VAD_SNR_SMOOTH_COEF_Q18,
> silk_SMULWB( (opus_int32)SA_Q15, SA_Q15 ) ); // step3:
> Update the smoothing factor based on speech probability :
> comment by me
>
> if( psEncC->frame_length == 10 * psEncC->fs_kHz ) {
> smooth_coef_Q16 >>= 1;
> }
>
> Here, in step1, Speech...
2017 Nov 22
0
Reg an issue with smoothing factor in VAD implementation
...ot */
>> speech_nrg = silk_SQRT_APPROX( speech_nrg );
>> SA_Q15 = silk_SMULWB( 32768 + speech_nrg, SA_Q15 );
>> }
>>
>> /* Smoothing coefficient */
>> smooth_coef_Q16 = silk_SMULWB( VAD_SNR_SMOOTH_COEF_Q18, silk_SMULWB(
>> (opus_int32)SA_Q15, SA_Q15 ) ); // step3: Update the smoothing factor based
>> on speech probability : comment by me
>>
>> if( psEncC->frame_length == 10 * psEncC->fs_kHz ) {
>> smooth_coef_Q16 >>= 1;
>> }
>>
>> Here, in step1, Speech probability is calculated whose value is expected
&...
2019 Jul 09
2
[LLVM] Infinite loop during LLVM InstructionCombining pass optimization
...f> = fmul double %129, fsub (double -0.000000e+00, double bitcast (i64 ptrtoint (i8** getelementptr inbounds ({ [2 x i8*] }, { [2 x i8*] }* @_ZTV5PointILi3EE, i64 0, inrange i32 0, i64 2) to i64) to double))
> >
> > After Step 3, infinte loop is started (i.e., Step1 -> step2 -> step3 -> step1 ->step2 -> step3 -> ...).
> >
> > ====================================================================
> >
> >
> > I will look forward to your response.
> >
> >
> > Thank you very much :).
> >
> >
> > Best regard...
2017 Nov 27
0
Reg an issue with smoothing factor in VAD implementation
...g = silk_SQRT_APPROX( speech_nrg );
>>> SA_Q15 = silk_SMULWB( 32768 + speech_nrg, SA_Q15 );
>>> }
>>>
>>> /* Smoothing coefficient */
>>> smooth_coef_Q16 = silk_SMULWB( VAD_SNR_SMOOTH_COEF_Q18, silk_SMULWB(
>>> (opus_int32)SA_Q15, SA_Q15 ) ); // step3: Update the smoothing factor based
>>> on speech probability : comment by me
>>>
>>> if( psEncC->frame_length == 10 * psEncC->fs_kHz ) {
>>> smooth_coef_Q16 >>= 1;
>>> }
>>>
>>> Here, in step1, Speech probability is calculat...
2011 Dec 23
1
[LLVMdev] Stop MachineCSE on certain instructions
...basic issue and the situation is like this -
[Original Op]
Mul Dest, Src1, Src2
[Expanded from EmitInstrWithCustomInserter]
Step1 Dest, Src1, Src2 <=== BuildMI(..., Step1, Dest).addReg(Src1).addReg(Src2)
Step2 Dest, Src1, Src2 <=== BuildMI(..., Step2, Dest).addReg(Src1).addReg(Src2)
Step3 Dest, Src2, Src1 <=== BuildMI(..., Step3, Dest).addReg(Src2).addReg(Src1)
Could manage to skip the CSE on those steps! While mul operation is expanded to multiple (3 in this case) steps, BuildMIs as above. But the "Live Intervals" computation gives a fatal error of multiple definit...
2017 Jun 03
2
Compiling program with dfsan at IR
...strument a small program with dfsan at IR and then
>> compile it. But I end up with undefined reference errors.
>>
>> Steps taken:
>> 1.Convert toy program to .bc
>> 2. IR pass to insert dfsan calls
>> 3.opt -dfsan on resultant bitcode from step 2
>> 4. llc step3.bc -o step4.s
>> 5. gcc step.s -o step5.o
>>
>> I get error "undefined reference to `__dfsan_arg_tls' " and so forth for
>> all functions defined.
>> Is there something I am missing or doing wrong in my steps.
>>
>> Thanks
>>
>>
&...
2007 Jan 21
1
for loop problem
Hello R users,
A beginners question which I could not find the answer to in earler posts.
My thought process:
Here "z" is a 119 x 15 data matrix
Step 1: start at column one, bind every column with column 1
Step2: use the new matrix, "test", in the fitCopula package
Step3: store each result in myfit, bind each result to "answer"
Step4: return "answer"
copula_est <- function(z)
{
for(i in 1:length(z[1,]))
{
my.cop <- normalCopula(param = 0.5, dim = 2)
test <- cbind(z[,1],z[,i])
myfit[i] <- fitCopula(test,my.cop, start=0.3)
}...
2010 Dec 29
1
Is ACL+extended attributes exclusive with mask/mode family options?
...55 for plain text
files created from windows client.
Further experiment reveals that if "vfs objects" is removed then "create
mask" works. I know vfs_acl_xattr is needed to keep windows ACL here ( I
suppose it's step1 ), but why doesn't it honor mask options ( step2 and
step3 )? Or settings in the share above are just not supposed to work
together?
Opinions?
Regards
-David
2014 Jan 04
2
[LLVMdev] How to update LiveInterval information of newly inserted machine basic block
...Intervals::computeVirtRegs after all the CFG transforms are complete?
>
> Yes, I should think so.
>
> /jakob
>
>
> Thank you very much for your talk.
> I think I could append more information about updating LiveIntervals.
> 1. It works well if I just use from step1 to step3, without step4.
> 2. In step4, I firstly use UnreachableBlockElim pass to delete OldMBB.
> Then, remove all intervals and recompute all the virtual registers' LiveIntervals.
> 3. I debug source code in LiveRangeCalc.cpp and copy partial code shown following.
> /// LiveRangeCalc.cpp...
2014 Jan 03
2
[LLVMdev] How to update LiveInterval information of newly inserted machine basic block
...es info of OldMBB. And, delete OldMBB from current CFG. Lastly, remove all registers' interval, create and recompute virtual register interval info.
>> However, I get an unreachable error "Use not jointly dominated by defs" in LiveRangeCalc.cpp:188.
>> So, comparing with Step3, Step4 generates an unreachable error, Why?
>> Valid information of OldMBB is deleted when updating CFG? Is there something wrong with my updating steps?
>> Thank you very much again.
>
> I’m haven’t done anything like this so I can only guess.
>
> The error means that...
2014 Jan 03
2
[LLVMdev] How to update LiveInterval information of newly inserted machine basic block
...to erase SlotIndexes info of OldMBB. And, delete OldMBB from current CFG. Lastly, remove all registers' interval, create and recompute virtual register interval info.
However, I get an unreachable error "Use not jointly dominated by defs" in LiveRangeCalc.cpp:188.
So, comparing with Step3, Step4 generates an unreachable error, Why?
Valid information of OldMBB is deleted when updating CFG? Is there something wrong with my updating steps?
Thank you very much again.
-Haishan
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.llvm.org/...