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On the C++ side:
```shell
> rg -tcpp CreateStratifiedSampler
samplers/stratified.cpp
79:StratifiedSampler *CreateStratifiedSampler(const ParamSet ¶ms) {
core/api.cpp
835: sampler …
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I'd like to contribute nonuniform sampling support for the method of morris.
I have hacked together a proof of concept based on the util.nonuniform_scale_samples function used in the sobol sampling…
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_From @berndbischl on March 14, 2017 16:0_
if you want to be cool, even show that with custom loss
_Copied from original issue: mlr-org/mlr-tutorial#102_
pat-s updated
4 years ago
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maszcal.offset_nfw.nfw memory errors with miscentering turned on for realistic inputs. I suspect some kind of issue with array broadcasting that ought to have been removed with the revamp for Latin hy…
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Hello everyone,
I have used this package with great pleasure so far. In my internship I am going to implement the Morris method on a complex model, but while reading the scientific literature I found…
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- [x] Random sampling
- [x] Uniform sampling
- [x] Sparse grid sampling
- [x] Sobol sampling
- [x] (Monte Carlo) Importance sampling
- [x] Latin Hypercube
- [x] Low-discrepancy sampling: https:/…
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The way params are set is kind of messy. We need a clean consistent way of setting the params for a StackedModel instance so that you can choose to use baryons but no miscentering, for example. Option…
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should be easy to implement similar to `sigmapoints`. Possibly provide a keyword to constructors.
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“Simulation Ensemble creation and execution” tutorial: In accordance with step 11.2, “Simulation Ensemble Added” figure in step 17 must display ‘Sample Deign’ as ‘Latin Hypercube’. Instead, it display…
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Implement a class to do experimental design. I have a code skeleton and a few unit tests written, but nothing particularly significant.
edaub updated
5 years ago