MASQ frontend

The frontend is part of the MASQ Project. The frontend enables users to interact with the MASQ platform.

More information about the MASQ platform can be found in the corresponding repository.

The MASQ frontend is supplied under MIT License. You can use and extend the frontend to interact with the MASQ platform.

Prerequisites

Install Node JS

Refer to https://nodejs.org/en/ to install nodejs

Cloning and Running the Application in local

Clone the project into local

Install all the npm packages. Go into the project folder and type the following command to install all npm packages

npm install

In order to run the application type the following command

npm start

The Application Runs on localhost:3000

Pipeline

The MASQ pipeline is composed of three steps:

1. Dataset selection: the user can both upload dataset (csv format) and insert DBMS connection detail
2. Modality selection: selection between train and test step with label definition
3. ML pipeline construction: in training phase the user build the desired pipeline with transforms and model, instead in testing phase the user upload the fitted pipeline and can decide to generate and execute the ML query on selected DBMS

Screenshot

Train

ML pipeline construction

ML pipeline train and deploy

Test

ML pipeline testing step

Simulation estimated execution time between query and ml library

Query generation

History

Comparison