AI Sphere FfDL-Dashboard

Provide a easy-to-use FfDL UI that enables visualization of training progress.

Prerequisites

1. Ensure you have the FfDL stack running, and that you know the Rest API port.

Installation

TODO: Explain how to install the dashboard into the minikube cluster using a makefile or other sane process.

Developer Notes

This project was seeded with Angular CLI version 1.5.2.

To get more help on the Angular CLI use ng help or go check out the Angular CLI README.

Development server

Run ng serve for a dev server. Navigate to http://localhost:4200/. The app will automatically reload if you change any of the source files.

Code scaffolding

Run ng generate component component-name to generate a new component. You can also use ng generate directive|pipe|service|class|guard|interface|enum|module.

Build

Run ng build to build the project. The build artifacts will be stored in the dist/ directory. Use the -prod flag for a production build.

Running unit tests

Run ng test to execute the unit tests via Karma.

Running end-to-end tests

Run ng e2e to execute the end-to-end tests via Protractor.

Further help