autonon 0.4.1
Organon Automated ML Platform
Requires Python: >=3.8

# Autonon

AUTONON is a groundbreaking library developed by Organon Analytics, revolutionizing the world of Machine Learning. With its advanced capabilities, AUTONON automates and accelerates the entire Machine Learning process(MLops), enabling swift application to real-life challenges. As a versatile Python library available in both private and public clouds, AUTONON offers open source and commercial versions, catering to diverse user needs. Featuring four powerful modules, AUTONON empowers users with unparalleled capabilities. The feature extraction module enables efficient extraction of relevant information from datasets, while the data quality module ensures the integrity and reliability of input data. The machine learning module facilitates seamless model development and optimization, while the deep learning module opens doors to cutting-edge neural network architectures. By leveraging AUTONON, data scientists and practitioners can unlock new levels of efficiency, productivity, and accuracy in their Machine Learning endeavors. Whether it's accelerating research projects, developing innovative solutions, or tackling complex business problems, AUTONON empowers users to achieve exceptional results and stay at the forefront of the rapidly evolving field of Machine Learning

- [Documentation](https://organonanalytics.atlassian.net/wiki/spaces/AOT/overview)
- [Code of Conduct](https://gitlab.com/organon-os/autonon/-/blob/main/CODE_OF_CONDUCT.md)
- [Contribution](https://gitlab.com/organon-os/autonon/-/blob/main/CONTRIBUTING.md) 
- Bug reports:  You can use GitLab issues.
- Contact: support@organonanalytics.com
- Company website: [Organon Analytics](http://www.organonanalytics.com/) 

## Installation
```shell
pip install autonon
```

### Requirements
A compiler for C is required for building cython modules. Check requirements for your operating system in https://cython.readthedocs.io/en/latest/src/quickstart/install.html

For oracle connections, cx_Oracle library is used. This library requires Oracle Client Libraries to be installed.
Please follow the instructions in the link : https://cx-oracle.readthedocs.io/en/latest/user_guide/installation.html#install-oracle-client


### Preparing Development Environment
After you pull the code, run 
```shell
cmd /c setup.bat
```
for Windows
```shell
chmod u=rwx setup.sh
./setup.sh
```
for Linux.

This script will prepare a virtual environment('orgenv') and build cython source files.
Then, you can start development after activating "orgenv" environment

**NOTE:** Script uses default python version in your system to generate the virtual environment. 
If your default python version is less than 3.8 or you want to use another python version, 
you can change the "python" commands in the script with the path to python version you want to use.

### Unit Tests And Coverage
To run unittests and measure code coverage:
* Activate 'orgenv' virtual environment
* Run command to run coverage: 
  ```shell
  coverage run --omit='*orgenv*' -m unittest organon/all_tests.py
  ```
* Run command to get coverage report:  `coverage report`

### License

This project is licensed under the terms of the [MIT License](LICENSE)