Metadata-Version: 2.1
Name: mlvizlib
Version: 0.1.1
Summary: MLVizLib is a powerful package for generating quick, insightful, and stylish visualizations for machine learning.
Home-page: https://github.com/kristianbonnici/mlvizlib
Author: Kristian Bonnici
Author-email: kristiandaaniel@gmail.com
License: MIT license
Description: [![Fancy fonts](https://see.fontimg.com/api/renderfont4/YzqJL/eyJyIjoiZHciLCJoIjoxMTcsInciOjEwMDAsImZzIjoxMTcsImZnYyI6IiMyMUJDQzUiLCJiZ2MiOiIjRkZGRkZGIn0/W01MXSBWaXogTGli/broshk-plum.png)](https://www.fontspace.com/category/fancy)
        
        --------------------------------------
        
        ![PyPI Version](https://img.shields.io/pypi/v/mlvizlib)
        ![License](https://img.shields.io/pypi/l/mlvizlib)
        
        **MLVizLib (Machine Learning Visualization Library)** is a powerful
        library for generating quick, insightful, and stylish visualizations for
        machine learning (ML). Our goal is to enhance the ML workflow by
        providing insightful visualizations with minimum effort.
        
        -   Documentation: (COMING SOON) <https://mlvizlib.readthedocs.io>.
        
        > **NOTE**
        >
        > This project is in early stage development, and can thus go trough major changes.
        
        Install
        -------
        
        MLVizLib can be installed from
        [PyPI](https://pypi.org/project/mlvizlib/):
        
        ``` {.sourceCode .python}
        pip install mlvizlib
        ```
        
        Features
        --------
        
        -   Confusion Matrix Visualization
        
        > **note**
        >
        > More coming soon.
        
        Confusion Matrix Visualization example
        --------------------------------------
        
        ``` {.sourceCode .python}
        import matplotlib.pyplot as plt
        from mlvizlib.classification import confusion_matrix
        
        # example data
        eg_y_true = [2,0,1,0,2,0,1,2,0,0,2,0,1,1,0,1,1,0,0,0,0,2,2]
        eg_y_pred = [2,0,0,0,2,0,1,2,1,0,2,2,1,1,0,2,1,0,1,0,0,1,2]
        
        confusion_matrix(eg_y_true, eg_y_pred)
        plt.show()
        ```
        <p align="center">
          <img src="img/example-cm-viz.jpg" width="800" />
        </p>
        
        
        
        
Keywords: mlvizlib
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
