The code from this repository has been integrated to the frontend-platform monorepo, where development and maintenance continue.

Adaptive Model Simulator

This project is a simulator for adaptive training runs. It allows to predict the behavior of a training run, based on relevant factors. Secondly, it contains visualizations for the training runs and the task difficulties generated.

Running the demo app locally

1. Pull and run the Adaptive training service or the whole deployment.
2. Install dependencies by running npm install.
3. Configure environment.local.ts, pointing to the Adaptive training service.
4. Run the project by running npm run start.
5. Navigate to https://localhost:4200/. The app will automatically reload if you change any of the source files. The app will be running with self-signed certificate, so you will need to accept the security exception in the browser.

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 library

Run npm run build-and-pack to build and pack the project. The build artifacts and package will be stored in the dist/ directory.

Running unit tests

Run ng test to execute the unit tests via Karma.