Skip to content

Latest commit

 

History

History
35 lines (24 loc) · 1.14 KB

README.md

File metadata and controls

35 lines (24 loc) · 1.14 KB

Credit Card Risk Wave App

This application builds a model using H2O Wave ML to predict if a customer will pay off their credit card. A reviewer can then look at the prediction value and reason codes of each customer and mark the customer as approved or denied for further credit.

Credit Risk App Screenshot - Home Page Credit Risk App Screenshot - Customer Page Credit Risk App Screenshot - Customer Page

Running this App Locally

System Requirements

  1. Python 3.6+
  2. pip3
  3. JRE 11+ (needed to run H2O-3)

1. Run the Wave Server

New to H2O Wave? We recommend starting in the documentation to download and run the Wave Server on your local machine. Once the server is up and running you can easily use any Wave app.

2. Setup Your Python Environment

git clone [email protected]:h2oai/wave-apps.git
cd wave-apps/credit-risk
make setup

3. Run the App

make run

4. View the App

Point your favorite web browser to localhost:10101