Basic Machine Learning Tools
Some useful machine learning tools
Installation
Install this via pip (or your favourite package manager):
pip install bmlt
Contributors ✨
Thanks goes to these wonderful people (emoji key):
 Ilya Bushmakin 💻 🤔 📖 |
This project follows the all-contributors specification. Contributions of any kind welcome!
Credits
This package was created with Copier and the browniebroke/pypackage-template project template.
1 maintainer
Metadata
1 maintainer
Release files for bmlt 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| bmlt-0.1.0.tar.gz | 5.8 kB | Without provenance | Details for bmlt-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| bmlt-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for bmlt-0.1.0-py3-none-any.whl |
Total release size: 11.7 kB
Release files / bmlt-0.1.0.tar.gz
| Download URL | bmlt-0.1.0.tar.gz |
|---|---|
| Size | 5.8 kB |
| Tags | Source |
|
SHA-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 |
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|
Release files / bmlt-0.1.0-py3-none-any.whl
| Download URL | bmlt-0.1.0-py3-none-any.whl |
|---|---|
| Size | 5.9 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/3.8.0 pkginfo/1.9.2 readme-renderer/37.3 requests/2.28.1 requests-toolbelt/0.10.1 urllib3/1.26.13 tqdm/4.64.1 importlib-metadata/5.1.0 keyring/23.11.0 rfc3986/2.0.0 colorama/0.4.6 CPython/3.9.15
|
Security for bmlt 0.1.0
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