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A variant on randomly sampling distribution parameters at the point of creating the initial population. With Latin hypercube sampling (LHS), the parameter space is utilised fully, giving a wider initi…
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Hi,
I am playing with the latin hypercube samper and was wondering if there is
a way to set the random seed somewhere.
Thanks,
Holger
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Hi, i have a nomad file that goes roughly like
```
DIMENSION 17
NB_THREADS_OPENMP 18
BB_EXE "$./a.out"
BB_OUTPUT_TYPE OBJ
BB_INPUT_TYPE * R
LH_SEARCH 16 10
LOWER_BOUND * -10
UPPER_BOUND * 10…
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### Variables to vary
- self-driving VoT
- self-driving price
- self-driving car density
- Expected induced demand (gained from percieved travel time costs reductions from earlier experiments)
…
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ERT should support latin hypercube sampling.
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I had another question concerning the sampling. In your sample code, at a certain moment, you define resampling with the same strata of the previous sample to achieve an additional nested sampling.
…
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It may be worthwhile to investigate using latin hypercube sampling instead of the standard purely random sampling method. It looks as though all of the tools are already in place to do this. The simul…
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Inspired by the comments in #432: currently we pick the initial points at random, and discussed using a Sobol sequence (or other quasi random sequence) instead.
Finding a good implementation of a Q…
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Currently pypet runs all possible combinations of parameters. This may not be feasible due to time constraints. A common approach to dealing with this issue is [latin hypercube sampling](https://en.wi…
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I run LHS analysis on HPC, and once all runs are completed I get this error in the end. Because of that, the .rds file with results cannot be created. Does anyone know why this error could appear and …