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Introduction

Bagpipe is an offline timing series data mining platform based on pure front end. After loading, the whole process (include data prepocessing, data visualization, and deep learning) runs completely locally, without interaction with a third party. Benefiting from the low dependence on network transmission (only page code, not specific data, needs to be transmitted), the security of users' private data can be greatly protected.

Functionalities

• data prepocessing

  • time series column detect
  • missing data filling
  • correlation analysis
  • features choose
  • anomaly data remove

• data visualization

  • line diagram
  • bar diagram
  • parallel coordinate diagram
  • 2D-histogram diagram
  • sunburst diagram

• deep learning model training

  • customized hyperparamters
  • mutiple times training
  • model download

Detail

• Flow chart

• Deep learning network structure

Browser Support

These browsers have been tested: | <img src="https://raw.githubusercontent.com/alrra/browser-logos/master/src/firefox/firefox_48x48.png" alt="Firefox" width="24px" height="24px" /></br>Firefox | <img src="https://raw.githubusercontent.com/alrra/browser-logos/master/src/chrome/chrome_48x48.png" alt="Chrome" width="24px" height="24px" /></br>Chrome | <img src="https://raw.githubusercontent.com/alrra/browser-logos/master/src/safari/safari_48x48.png" alt="Safari" width="24px" height="24px" /></br>Safari | |:---:|:---:|:---:| | last 2 versions | last 2 versions | last 2 versions |

How to run?

yarn
yarn start

Demo

https://giorgiopeng.github.io/FYP/

About the Name

The name of the platform is from a character, Bagpipe, in the mobile game 「Arknights」.

Because a new model of the game start was created by the character.
Hope the platform can create new style of deep learning.