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API developed with FastAPI for temperature prediction using RNN

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TempPredictAPI

Introduction

This is the repository for the Next Hour Temperature Prediction API using RNN with GRU units. With the last 30 temperature values, the temperature for the next hour is predicted with a root mean square error of 0.4 °C.

Depedencies

Dependencies for Docker:

Installation

Clone the repository

First you need to clone the repository.

git clone https://github.com/camicontr/TempPredictAPI.git

Docker Installation

To install TempPredictAPI on a docker container, run the following command:

docker-compose up -d --build

Usage

Running the API

To run the API in the Docker container, run the following command:

docker start container_API

then go to

http://localhost:8000/docs

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API developed with FastAPI for temperature prediction using RNN

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