DeepSet opacity mixer
This repository includes the tools to train a DeepSet k-table mixer, as described in detail in Schneider et al. (2023).
The documentation for the code and tutorials are provided here: link to docs
If you find this work useful, please consider to cite the following paper: Schneider et al. (in review)
WARNING: The paper is not yet published, please do not use this code, before it is published
Metadata
Release files for opac-mixer 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| opac_mixer-1.0.1.tar.gz | 25.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| opac_mixer-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 53.9 kB
Release files / opac_mixer-1.0.1.tar.gz
| Download URL | opac_mixer-1.0.1.tar.gz |
|---|---|
| Size | 25.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.11.5
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Release files / opac_mixer-1.0.1-py3-none-any.whl
| Download URL | opac_mixer-1.0.1-py3-none-any.whl |
|---|---|
| Size | 28.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.11.5
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