poplar
Augmenting selection bias modelling with machine learning for big speedups.
The methodology behind this package is introduced in Chapman-Bird et al. (2023) for the specific case of modelling selection biases in extreme mass ratio inspiral (EMRI) populations. If you use this package in your work, please cite this paper and the code package doi.
Authors:
- Christian Chapman-Bird
Contributors:
- Maybe you!
1 maintainer
Metadata
1 maintainer
Release files for poplar 0.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| poplar-0.3.tar.gz | 5.8 MB | Without provenance | Details for poplar-0.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| poplar-0.3-py3-none-any.whl | Python 3 | none | any | Details for poplar-0.3-py3-none-any.whl |
Total release size: 5.9 MB
Release files / poplar-0.3.tar.gz
| Download URL | poplar-0.3.tar.gz |
|---|---|
| Size | 5.8 MB |
| Tags | Source |
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Release files / poplar-0.3-py3-none-any.whl
| Download URL | poplar-0.3-py3-none-any.whl |
|---|---|
| Size | 27.8 kB |
| Tags | Python 3 |
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twine/6.2.0 CPython/3.12.12
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Security for poplar 0.3
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