-
Notifications
You must be signed in to change notification settings - Fork 1
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Include the heterogeneities types in the generation process #12
Comments
Could you explain how are you currently doing this? |
its explained in the paper , if you allow i can copy paste here from paper? |
Yes, please, go ahead |
We initially have 3 test beds: seed.aml, seed-0.aml and seed-1.aml |
Why |
|
Could you create a running example here? |
the lamda is the mean, we have 7 heterogeneties but one is already selected the initial test bed thats why we take 6 |
Example :
seed-0.aml
seed-1.aml
our process selected heterogenities : M5 ,M2 ,M4 seed.aml
seed-0,aml
seed-1.aml
|
No, please edit the comment, this is not understandable |
done |
Please remove the code and explain it differently. Just include those parts of the code that are really need it |
is understandable now |
close it please |
No, I think this is the key of the generator. The Poisson distribution is used to chose which heterogeneity will be included, e.g., M2. So, the generator randomly chooses M2 but this heterogeneity has specific features. From where these specific features are taken? |
The current process works. We have to check if possible to randomly add the existing heterogeneities to the generation process.
Please check this paper.
We should also check that the generation, as well as the selection of the heterogeneities, is done in a controlled random process, i.e., following a statistic distribution like normal or Poisson.
The text was updated successfully, but these errors were encountered: