Metadata-Version: 2.3
Name: okrolearn
Version: 2.5.0
Summary: A machine learning library created by Okerew, which is supposed to be a raw implementation of combining pytorch with scikit-learn
Project-URL: Documentation, https://github.com/Okerew/okrolearn#readme
Project-URL: Issues, https://github.com/Okerew/okrolearn/issues
Project-URL: Source, https://github.com/Okerew/okrolearn
Author-email: Okerew <93822247+Okerew@users.noreply.github.com>
License-Expression: MIT
License-File: LICENSE
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.8
Requires-Dist: cupy
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: opencv-python
Requires-Dist: pandas
Requires-Dist: pillow
Requires-Dist: scipy
Requires-Dist: statsmodels
Description-Content-Type: text/markdown

# Okrolearn

![Okrolearn Logo](https://github.com/Okerew/okrolearn/assets/93822247/2c3e95ea-394d-4e29-8b97-13281ee695b7)

Okrolearn is a machine learning library created by Okerew.

## Installation

To install Okrolearn for cpu, use:
`pip install okrolearn==0.2.2`
<br>
To install for gpu do
`pip install okrolearn`
<br>
#Note venv is recommended

## Usage

To use Okrolearn in your code, import the main module:
```python
from okrolearn import okrolearn
okrolearn.Tensor() # Example usage
```
To integrate Okrolearn into your project directory, install the requirements and import it:
`from okrolearn.src.okrolearn import *`
You can also download the okrolearn.py file and import it:
`from okrolearn import *`
## Notes
The gpu version will not work as good as cpu version for small data 