GitHub repository: steepestascent/query-machine-learning-model-exposed-in-an-api
Primary language: TypeScript
Created: 2019-07-27T15:37:30Z
Description: This repo consist of a decision tree classifier trained on the famous play tennis dataset. The classifier and an AngularJS web app is hosted in a Flask application in a Docker container. The AngularJS web app provides the ability to drag features from a list of available features to a drop box. Once 4 distinct feature types are added to the drop box a user clicks the query button. This action sends a REST post request to the server. The server sends the provided features through the decision tree classifier and returns a classification to the client. The web app redirects to a play tennis or don't play tennis page depending on the classification returned from the server.