LearnML
LearnML is a Python module for Machine Learning and Deep Learning.
Installation
Requirements
- Python 3.11+
Stable release
To install learnml, run this command in your terminal:
pip install learnml
This is the preferred method to install learnml, as it will always install the most recent stable release.
If you don't have pip installed, this Python installation guide can guide you through the process.
From sources
The sources for learnml can be downloaded from the Github repo.
You can either clone the public repository:
git clone git://github.com/Vipul97/learnml
Or download the tarball:
curl -OJL https://github.com/Vipul97/learnml/tarball/master
Once you have a copy of the source, you can install it with:
python setup.py install
Contributing
Please read CONTRIBUTING.md for details on code of conduct, and the process for submitting pull requests.
License
This project is licensed under the MIT License - see the LICENSE file for details.
1 maintainer
Metadata
1 maintainer
Release files for learnml 0.11.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| learnml-0.11.1.tar.gz | 14.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| learnml-0.11.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 37.0 kB
Release files / learnml-0.11.1.tar.gz
| Download URL | learnml-0.11.1.tar.gz |
|---|---|
| Size | 14.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
48f6cd5bc26d0b87e90c0c0dc47e810776ce91938e0eb61944d72505a605a2bf
|
|
BLAKE2b-256 checksum How to use checksums |
d5c84185e74edbb714cdb6a112263a36f589287b6cbe2232dbe6e70faabcda59
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 11, 2024.
Transparency logRelease files / learnml-0.11.1-py3-none-any.whl
| Download URL | learnml-0.11.1-py3-none-any.whl |
|---|---|
| Size | 22.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4968d6f62299980d84b06621f0252951fc757cb6aefcc0c4dd6ec7200c6c22e3
|
|
BLAKE2b-256 checksum How to use checksums |
0bf32086e2ac1194a157b2c0b649a0f3fa558f8a588be955867d4fd7de675023
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 11, 2024.
Transparency log
