Metadata-Version: 2.2
Name: mlr-gd
Version: 0.1.1
Summary: A package for multiple linear regression by gradient descent.
Home-page: https://github.com/DrSolidDevil/mlr-gd/
Author: DrSolidDevil
License: BSD 3-Clause
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3.11
Classifier: Operating System :: OS Independent
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=2.2.1
Provides-Extra: dev
Requires-Dist: twine>=6.0.1; extra == "dev"
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Dynamic: classifier
Dynamic: description
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<h1 align="center"> 
  <img src="https://raw.githubusercontent.com/DrSolidDevil/mlr-gd/main/logo.png" width="300">
  <br>
</h1>
Multiple linear regression by gradient descent.
<br><br>
<h4>Disclaimer:</h4>
This code is very early on and my first proper attempt to create a package so things may be a bit weird/not up to standard.

<br>
<br>
<h2>Installation</h2>

To install mlr-gd you can use [pip](https://pip.pypa.io):

```bash
$ python -m pip install mlr-gd
```

Alternativly, you can install it by cloning the [GitHub repository](https://github.com/DrSolidDevil/mlr-gd):
```bash
$ git clone https://github.com/DrSolidDevil/mlr-gd.git
$ cd mlr-gd
$ pip install .
```

<br>

To import the package into your script:  
```python
import melar
```
