Metadata-Version: 2.1
Name: RackioAI
Version: 0.3.1
Summary: A Rackio extension for AI models development
Home-page: https://github.com/crivero7/RackioAI
Author: Carlos Rivero
Author-email: cdrr.rivero@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: Pillow (==9.0.0)
Requires-Dist: PyWavelets (==1.1.1)
Requires-Dist: easy-deco (==0.1.2)
Requires-Dist: odfpy (==1.4.1)
Requires-Dist: openpyxl (==3.0.6)
Requires-Dist: pandas (==1.2.4)
Requires-Dist: pydot (==1.4.2)
Requires-Dist: pyxlsb (==1.0.8)
Requires-Dist: scikit-learn (==1.0.2)
Requires-Dist: seaborn (==0.11.1)
Requires-Dist: statsmodels (==0.13.1)
Requires-Dist: tensorflow-probability (==0.15.0)
Requires-Dist: tensorflow (==2.7.0)
Requires-Dist: xlrd (==1.2.0)

# RackioAI

**RackioAI** is a [Rackio](https://github.com/rack-io/rackio-framework) extension for Artificial Intelligence (AI) models.

The project was started in 2020 by [Carlos Rivero](https://github.com/crivero7) as a *Leak Detection System* and *Virtual Analyzer*
 project at [Intelcon System C.A](http://intelconsystem.com/) and [MCL Control S.A](http://mclcontrol.com/) respectively as a workaround to development and deployment *Deep Learning* models faster way.

# Installation

## Dependencies

**RackioAI** requieres:

* Python (>=3.7)
* scikit-learn
* easy-deco
* Pillow (8.0.0)
* Rackio (1.0.2)

___

## User installation

The easiest way to install **RackioAI** is using pip
> pip install RackioAI

```

## User instantiation

To use it in any python project you can import it using:

```python
from rackio_AI import RackioAI

```
Now, you can get access to **RackioAI** methods and attributes.
___
## Source code

You can check the latest sources with the command:

`git clone https://github.com/crivero7/RackioAI.git`
___
## Documentation

The RackioAI documentation can be found in [Read the Docs](https://rackioai.readthedocs.io/en/latest/)

# Todo
* Changelog
* Contributing guide
* Testing code

