IntelliMaint 0.8

A prognostics package by IPT

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.

Installing the package

Clone the repository

$ git clone https://github.com/bkramesh64/inteliMaint.git

$ cd inteliMaint

Install the package using python

$ python setup.py install

Installation with pip

$ pip install IntelliMaint

Repository Directory Structure

Here is the directory structure for the github repository

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

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
  
• 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
  

How to upload on PyPi

• Install 'grand' from the specified Git repository: pip install git+https://github.com/caisr-hh/group-anomaly-detection.git@5847a302ddec96803b0d36c4697b2f91f9e35019
  
• Make an account on PyPi.
  
• use twine check dist/* twine checks if all necessary information is there
  
• Get the API token from your PyPi account.
  
• use the following command to upload to PyPI distribution - twine upload dist/* -u __token__ -p pypi- <API_TOKEN>