Personal toolbox for ML : data viz, autoML, data preprocessing, etc.
1 maintainer
Release files for mlcook 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlcook-0.0.1.tar.gz | 15.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlcook-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 39.5 kB
Release files / mlcook-0.0.1.tar.gz
| Download URL | mlcook-0.0.1.tar.gz |
|---|---|
| Size | 15.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4e50d315833316bd1ee093d08b74b17dd596d7e5160c33c65eb4ca7648135da7
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|
BLAKE2b-256 checksum How to use checksums |
fe103404d81bc312066eda14619c41f5dba6915fc8a82554bb2be312d92e7bff
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.0
|
Release files / mlcook-0.0.1-py3-none-any.whl
| Download URL | mlcook-0.0.1-py3-none-any.whl |
|---|---|
| Size | 23.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4265cda43cf977445ef932a002946be2a0bdb959dec157c77476f36ddf87cbae
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|
BLAKE2b-256 checksum How to use checksums |
5afaf31469e0254df51cdf860e3d42431d21ea22ee12bf59d194c0bce4e116d7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.0
|
