Ep-det Machine Learning Webserver

Get predictions about your data

This project is a flask webserver application that is used as an interface to a machine learning model. It allows us to get predictions for samples using HTTP methods.

Prerequisites

• Docker Installed on your machine

Running the Webserver

This app requires Docker to run.

Build the docker file image

docker build -t ep-det-ml-model .

Run your Container

docker run -p 2000:2000 ep-det-ml-model

You can verify that your server is running by visiting the following address on your browser

localhost:2000

Sample Run

You can run a prediction for a sample.

by executing a post request to /prediction route with the body in sample.json file

Sample request example

POST localhost:2000/prediction
{
    "data": [
        -8,
        -10,
        19,
        20,
        ...
    ]
}

Sample response example

{
    "prediction": {
        "confidence": "0.99888843",
        "label": "C"
    }
}