ml-eis 0.2.9

data processing and machine learning model for EIS

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: