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End-to-end machine learning project showing key aspects of developing and deploying ML driven application

fullstack.ai

This repository has been archived. Please look for better examples if you want to deploy ML-driven application.

UI

API

Run

In order to deploy, you'll need to get mapbox API key here. Then in project directory run

echo MAPBOX_API_KEY=your.api.key > .env && \
docker pull nginx:latest && \
docker-compose up --build -d

Nginx configuration maps reverse proxy server to port 80

API guide

GET valid station id

curl -i "localhost:80/api/stations"

GET predicted trip time between two stations

"localhost:80/api?start=start_id&end=end_id"

Parameters

  • start_id (required) Valid start station id
  • end_id (required) Valid end station id

Example

curl -i "localhost:80/api?start=73&end=39"