DF4cats is a small package meant to facilitate Machine Learning pipelines that include pandas dataframes with categorical variables.
1 maintainer
Metadata
1 maintainer
Release files for df4cats 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| df4cats-0.1.0.tar.gz | 9.0 kB | Without provenance | Details for df4cats-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| df4cats-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for df4cats-0.1.0-py3-none-any.whl |
Total release size: 20.8 kB
Release files / df4cats-0.1.0.tar.gz
| Download URL | df4cats-0.1.0.tar.gz |
|---|---|
| Size | 9.0 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8
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Release files / df4cats-0.1.0-py3-none-any.whl
| Download URL | df4cats-0.1.0-py3-none-any.whl |
|---|---|
| Size | 11.8 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8
|
Security for df4cats 0.1.0
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None of the files in this release were uploaded with provenance metadata.
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