| Name | okrolearn JSON |
| Version |
2.7.0
JSON |
| download |
| home_page | None |
| Summary | A machine learning library created by Okerew, which is supposed to be a raw implementation of combining pytorch with scikit-learn |
| upload_time | 2024-08-30 19:27:40 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | None |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# Okrolearn

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
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