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ml-eis

data processing and machine learning model for EIS

  • 0.2.9
  • PyPI
  • Socket score

Maintainers
1

Machine Learning on EIS

Project Objectives:

Current Functionality:

Our results are presented in the user interface called echem_pred. This UI has the following functionalities:

  • Data visualization:
  • EIS plotting
  • dqdv
  • Battery cycling plotting
  • Machine Learning: Our machine learning has two different modes: online training and offline training. Online training includes.... while offline training uses developed....
  • Offline data training
  • Online data training
    • Decision Tree
    • [ ]
    • [ ]

Modules Overview:

  • echem_pred.py: Main file for the user interface. Including three main parts: main window, data visualization (window 2), and machine learning (window 3).

Software Tutorial:

After cloning this repo annd installing the requirements, the Echem Visualizer App can be used to interact the xx functions to visualize cycling data.

To start the app please run....:

After running, the main page should look like this:

Installation:

Environment:

(What's the required environment)

Instruction:

(How to install)

Acknowledgement:

FAQs


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