Metadata-Version: 2.3
Name: okrolearn
Version: 0.2.2
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
Description-Content-Type: text/markdown

# Okrolearn 

Machine Learning library created by Okerew
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To install do `pip install okrolearn==0.2.2`
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To use in your code with the main module do `from okrolearn import okrolearn`
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Then for example to use Tensor, do `okrolearn.Tensor()`
<br>
To add it to your directory, install requirements and then just import it by having it in your project directory
<br>
`from okrolearn.src.okrolearn import *`
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You can also just download the okrolearn.py file and import it
<br>
`from okrolearn import *`
<br>
Note gpu and jit compilation are not yet supported.

