WBML
Machine learning stuff
Requirements and Installation
See the instructions here. Then simply
pip install wbml
1 maintainer
Metadata
1 maintainer
Release files for wbml 0.4.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| wbml-0.4.2.tar.gz | 42.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| wbml-0.4.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 86.7 kB
Release files / wbml-0.4.2.tar.gz
| Download URL | wbml-0.4.2.tar.gz |
|---|---|
| Size | 42.2 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 |
twine/6.0.1 CPython/3.12.8
|
Release files / wbml-0.4.2-py3-none-any.whl
| Download URL | wbml-0.4.2-py3-none-any.whl |
|---|---|
| Size | 44.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6df1de9b52be74312cc41093a25b483f0e69c71d708eff3e6cb3bee5a17a40ff
|
|
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/6.0.1 CPython/3.12.8
|
