The goal of ML-App is to create a simple open-source GUI for utilizing machine learning libraries. Users should be able to upload data from a variety of sources, split the data up, and test different types of models. Eventually, the application should suggest models to the user and automatically apply optimal parameters. This project was generated with Angular CLI version 6.0.7.
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.
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.
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.
Run ng test to execute the unit tests via Karma.
Run ng e2e to execute the end-to-end tests via Protractor.
To get more help on the Angular CLI use ng help or go check out the Angular CLI README.