Metadata-Version: 2.1
Name: IntelliMaint
Version: 0.12
Summary: A prognostics package by IntelliPredikt Technologies
Author: IPTLP0032
Author-email: iptgithub@intellipredikt.com
Requires-Python: >=3.5
Description-Content-Type: text/markdown
Requires-Dist: scikit-learn
Requires-Dist: GPy
Requires-Dist: minisom
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: numpy>=1.16.1
Requires-Dist: mplcursors
Requires-Dist: fpdf2
Requires-Dist: tensorflow<2.12,>=2.10
Requires-Dist: keras<2.11,>=2.10
Requires-Dist: pandas<1.3.0,>=1.0.0
Requires-Dist: seaborn
Requires-Dist: imbalanced-learn

# IntelliMaint - Predictive Diagnostics and Prognostics Application Development Python Package for Engineering Systems
IntelliMaint library offers an integrated set of functions written in Python that aids in predictive health diagnostics. The library includes various state-of-the-art algorithms that are accessible by users with simple APIs. Thus the library accelerates the analysis and the development phase for even the novice users. Most of the APIs are provided with intuitive visualizations that guide in choosing the apt algorithm for a system component. Each block in the library is built as an independent module thus used as a plug and play module. The expert users are provided with a provision to add new algorithms for specific use cases.


![image](https://github.com/bkramesh64/intellimaint-0.2/assets/29832933/38402759-d569-4410-b51f-36eb8b043785)


## Features

- Data Preparation
- Signal Processing
- Feature Extraction
- Anomaly Detection
- Diagnostics
- Prognostics

## Contents

- [Installation](docs/installation.md)
- [Quick Start](docs/quickstart.md)
- [Tutorials](docs/tutorial.md)
- [RESTAPI Documentation](docs/api.md)


## Repository Structure
- `IntelliMaint/` - The python package files <br />
- `examples/` - Example Python scripts using IntelliMaint <br />
- `README.md` - The readme (this file) <br />
- `setup.py` - Contains all metadata about this package <br />
- `.gitignore` - The gitignore file for this package to exclude uneccesary files t be pushed to the repository <br />

## Setup Upload for PyPi Distribution
- Once you have your `setup.py` file and `__init__.py` you can build binary distribution and source distrubution files.
- To create the distribution files, first check if you have the wheel package - `pip install wheel` <br />
- Once we have `wheel` installed we can use the following command to get the distribution files - `python setup.py bdist_wheel` and `python setup.py sdist` <br />

## How to upload on PyPi
- Make an account on PyPi. <br />
- use `twine check dist/*` twine checks if all necessary information is there  <br />
- Get the API token from your PyPi account. <br />
- use the following command to upload to PyPI distribution -  `twine upload dist/* -u __token__ -p pypi- <API_TOKEN>` <br />


