RaMix generates synthetic Raman mixture spectra.These mixture spectra can be used to compare the predictive performance of different chemoinformatics algorithms, such as partial least squares (PLS) and 1D Convolution Neural Networks (1D-CNN).
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Release files for ramix 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ramix-1.0.0.tar.gz | 9.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ramix-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.4 kB
Release files / ramix-1.0.0.tar.gz
| Download URL | ramix-1.0.0.tar.gz |
|---|---|
| Size | 9.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.6
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Release files / ramix-1.0.0-py3-none-any.whl
| Download URL | ramix-1.0.0-py3-none-any.whl |
|---|---|
| Size | 8.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.6
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