Displaying 4 results from an estimated 4 matches for "num2str".
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namestr
2011 Jan 21
1
help! complete the reviewer's suggest: carry out GA+GP (gaussian process)!
...ld the models and get
some statistical paramets depicted above.
GA: matlab GA toolbox
(http://www.sheffield.ac.uk/acse/research/ecrg/gat.html)
svm: libsvm (http://www.csie.ntu.edu.tw/~cjlin/libsvm/)
now I want to know, how to get the predicted values :
In libsvm for example:
cmd = ['-v ',num2str(v),' -c',num2str(cgp(nind,1)), '-g
',num2str(cgp(nind,2)),' -p ',num2str(cgp(nind,3)),' -s 3'];
model = svmtrain(train_y,train_data_best,cmd);
train_pred = svmpredict(train_y,train_data_best,model); % get the predicted
values for the training set
I can get the trai...
2019 Nov 30
1
Re: [PATCH nbdkit 1/3] filters: stats: Show size in GiB, rate in MiB/s
...at
happens if the rate is substantially less than 1 megabit?
We either ought to scale this according to the size of the number
being printed, or else let the user select it. For scaling, here's
some code from fio:
https://github.com/axboe/fio/blob/bef74db41fb5a1607fd55cb86544165fc08acac1/lib/num2str.c#L72
Rich.
--
Richard Jones, Virtualization Group, Red Hat http://people.redhat.com/~rjones
Read my programming and virtualization blog: http://rwmj.wordpress.com
virt-df lists disk usage of guests without needing to install any
software inside the virtual machine. Supports Linux and Windows....
2019 Nov 30
5
[PATCH nbdkit 0/3] filters: stats: More useful, more friendly
- Use more friendly output with GiB and MiB/s.
- Measure time per operation, providing finer grain stats
- Add missing stats for flush
I hope that these changes will help to understand and imporve virt-v2v
performance.
Nir Soffer (3):
filters: stats: Show size in GiB, rate in MiB/s
filters: stats: Measure time per operation
filters: stats: Add flush stats
filters/stats/stats.c | 117
2011 Jan 22
0
how to call BayesX in R to see the graph
...cted above.
GA: matlab GA toolbox
(http://www.sheffield.ac.uk/acse/research/ecrg/gat.html)
svm: libsvm (http://www.csie.ntu.edu.tw/~cjlin/libsvm/<http://www.csie.ntu.edu.tw/%7Ecjlin/libsvm/>
)
now I want to know, how to get the predicted values :
In libsvm for example:
cmd = ['-v ',num2str(v),' -c',num2str(cgp(nind,1)), '-g
',num2str(cgp(nind,2)),' -p ',num2str(cgp(nind,3)),' -s 3'];
model = svmtrain(train_y,train_data_best,cmd);
train_pred = svmpredict(train_y,train_data_best,model); % get the predicted
values for the training set
I can get the trai...