IIS - MBajk prediction app

Description

This app uses a RNN model to predict available bike stands at a specific stop, based on data on previous days.

Requirements

• Poetry
• Python >= 3.9

Dependencies

This project uses Poetry for dependency management. Poetry takes care of installing all the necessary dependencies for running the application.

Installation

1. Make sure you have Poetry installed. You can check by running the following command:

   poetry --version
   

   If not installed, follow the Poetry installation guide to install Poetry.

2. Clone this repository:

   git clone https://github.com/kristjansuligoj/iis-vaja.git
   

3. Navigate to the project directory:

   cd iis-vaja
   

4. Install project dependencies:

   poetry install
   

Usage

To run the API, use the following command:

poetry run api

Once the API is running, it exposes an endpoint at http://0.0.0.0:5000/predict/mbajk.

Making Predictions

To get a prediction, send a POST request to the endpoint with previous data points. You can use tools like cURL, Postman, or any HTTP client library.

Testing the API

An example of the raw body that should be sent for testing the API can be found in /data/test/test-api-data.json. You can use this sample data to verify that the API is functioning correctly.