svmlight-loader is a Cython-less (and scikit-learn-less) implementation of the svmlight / libsvm format.
It is designed simply to handle loading this format, which has become somewhat prevalent in exchanging arbitrary sparse machine learning datasets.
It also is specifically intended to support PyPy (though of course it also supports CPython).
1 maintainer
Release files for svmlight-loader 0.8.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| svmlight-loader-0.8.0.tar.gz | 10.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| svmlight_loader-0.8.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.4 kB
Release files / svmlight-loader-0.8.0.tar.gz
| Download URL | svmlight-loader-0.8.0.tar.gz |
|---|---|
| Size | 10.7 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/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5
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Release files / svmlight_loader-0.8.0-py3-none-any.whl
| Download URL | svmlight_loader-0.8.0-py3-none-any.whl |
|---|---|
| Size | 6.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5
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