Comments (3)
You can omit the runs
argument in run_missing_simulations
, and instead specify the desired RngRun
range directly from the parameter dictionary! So, something along the lines of:
params = {
'aParameter': [someValue],
'RngRun': [1, 2, 3]
}
campaign.run_missing_simulations(params)
should work. You can also specify RngRun
in the parameter dictionary you use for queries and to get data out of the database.
from sem.
Implemented in a2f8b68
from sem.
Hi,
where can I find an example of how to re-use the RngRun parameters? I would like to compare two simulations using the same set of RngRun parameters.
For each simulation I'm actually doing
parameters= #set of parameters for NS3
runs = 4
campaign.run_missing_simulations(parameters, runs=runs)
Thank you
from sem.
Related Issues (20)
- Test Failure HOT 2
- Exporting Output Files from campaign HOT 2
- Exception: ns-3 repository is not clean HOT 5
- A small typing error in readme HOT 1
- Logging with SEM HOT 14
- Absolute path to scratch subdirectories not correctly built HOT 3
- Exception: ns-3 repository is not clean HOT 2
- Compilation ended with an error HOT 5
- Multi CPUs parallel execution HOT 1
- Run simulation with couple of parameters HOT 4
- error while running simple example HOT 10
- module 'sem.utils' has no attribute HOT 2
- Using DRMAA clusters for parallel execution of simulations HOT 2
- ModuleNotFoundError: No module named 'sem' DEI Account HOT 4
- invalid argument value when using a lambda / function HOT 1
- Delete specific simualtion from result folder HOT 1
- No module named 'poetry.masonry' HOT 1
- Error: "No such file or directory: 'path-to-ns3/build/build-status.py'" HOT 2
- Support other simulation frameworks
- Output Folder Name
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from sem.