A Python wrapper for the Penn Machine Learning Benchmark data repository.
Contact
If you have any questions or comments about the Penn Machine Learning Benchmark, please feel free to contact us via e-mail: rso@randalolson.com
This project is hosted at https://github.com/EpistasisLab/penn-ml-benchmarks
Release files for pmlb 1.0.1.post3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pmlb-1.0.1.post3.tar.gz | 11.0 kB | Without provenance | Details for pmlb-1.0.1.post3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pmlb-1.0.1.post3-py3-none-any.whl | Python 3 | none | any | Details for pmlb-1.0.1.post3-py3-none-any.whl |
Total release size: 30.5 kB
Release files / pmlb-1.0.1.post3.tar.gz
| Download URL | pmlb-1.0.1.post3.tar.gz |
|---|---|
| Size | 11.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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|
Release files / pmlb-1.0.1.post3-py3-none-any.whl
| Download URL | pmlb-1.0.1.post3-py3-none-any.whl |
|---|---|
| Size | 19.5 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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| Upload date | |
|
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/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5
|
Security for pmlb 1.0.1.post3
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