How to make predictions against a SageMaker endpoint

predict.java

package org.example.basicapp;

import com.amazonaws.services.sagemakerruntime.AmazonSageMakerRuntime;
import com.amazonaws.services.sagemakerruntime.AmazonSageMakerRuntimeClientBuilder;
import com.amazonaws.services.sagemakerruntime.model.InvokeEndpointRequest;
import com.amazonaws.services.sagemakerruntime.model.InvokeEndpointResult;

import java.nio.ByteBuffer;

public class App
{
    public static void main( String[] args )
    {
        AmazonSageMakerRuntime runtime = AmazonSageMakerRuntimeClientBuilder.defaultClient();

        String body = "{\"instances\": [1.0,2.0,5.0]}";

        ByteBuffer bodyBuffer = ByteBuffer.wrap(body.getBytes());


        InvokeEndpointRequest request = new InvokeEndpointRequest()
                .withEndpointName("half-plus-three")
                .withBody(bodyBuffer);

        InvokeEndpointResult invokeEndpointResult = runtime.invokeEndpoint(request);

        String bodyResponse = new String(invokeEndpointResult.getBody().array());

        System.out.println(bodyResponse);
    }
}

predict.js

var AWS = require('aws-sdk');

var sageMakerRuntime = new AWS.SageMakerRuntime({region: 'us-west-2',});

var params = {
  Body: new Buffer('{"instances": [1.0,2.0,5.0]}'),
  EndpointName: 'half-plus-three'
};

sageMakerRuntime.invokeEndpoint(params, function(err, data) {
  responseData = JSON.parse(Buffer.from(data.Body).toString('utf8'))
  console.log(responseData);
});

predict.py

import json

import boto3

client = boto3.client('runtime.sagemaker')

data = {"instances": [1.0,2.0,5.0]}

response = client.invoke_endpoint(EndpointName='half-plus-three', 
                                  Body=json.dumps(data))

response_body = response['Body']

print(response_body.read())

predict.sh

#!/usr/bin/env bash

ENDPOINT_NAME=half-plus-three

RESPONSE_FILE=prediction_response.json

aws sagemaker-runtime invoke-endpoint --endpoint-name ${ENDPOINT_NAME} \
--body '{"instances": [1.0,2.0,5.0]}' prediction_response.json

cat ${RESPONSE_FILE}

very good.