juliensimon

✗ aws machinelearning create-realtime-endpoint --ml-model-id ml-noV4tkTZgnO
{
    "MLModelId": "ml-noV4tkTZgnO",
    "RealtimeEndpointInfo": {
        "EndpointStatus": "UPDATING",
        "PeakRequestsPerSecond": 200,
        "CreatedAt": 1429171982.734,
        "EndpointUrl": "https://realtime.machinelearning.us-east-1.amazonaws.com"
    }
}

juliensimon

✗ aws machinelearning describe-ml-models
{
    "Results": [
        {
            "Status": "COMPLETED",
            "SizeInBytes": 5821257,
            "Name": "ML model: Data3.txt",
            "TrainingParameters": {
                "sgd.l2RegularizationAmount": "1e-6",
                "sgd.maxMLModelSizeInBytes": "104857600",

juliensimon

✗ aws machinelearning predict 
--ml-model-id ml-noV4tkTZgnO 
--record 
    '{"lastname":"Simon", "firstname":"Julien", 
    "gender":"M", "state":"Texas","age":"44", 
    "month":"4", "day":"106", "hour":"10", "minutes":"26", 
    "items":"5" }'  
--predict-endpoint https://realtime.machinelearning.us-east-1.amazonaws.com

{

juliensimon

// Paris -> us-east-1

% time aws machinelearning predict --ml-model-id ml-noV4tkTZgnO --record '{"lastname":"Simon", "firstname":"Julien", "gender":"M", "state":"Texas","age":"44", "month":"4", "day":"106", "hour":"10", "minutes":"26", "items":"5" }'  --predict-endpoint https://realtime.machinelearning.us-east-1.amazonaws.com
{
    "Prediction": {
        "predictedValue": 752.190185546875,
        "details": {
            "PredictiveModelType": "REGRESSION",
            "Algorithm": "SGD"
        }

juliensimon

% wget https://github.com/aws/aws-cli/archive/develop.zip
% unzip develop.zip
% cd aws-cli-develop
% sudo python setup.py install
% aws configure

juliensimon

package org.julien.datastuff;

import com.amazonaws.AmazonClientException;
import com.amazonaws.services.machinelearning.AmazonMachineLearningClient;
import com.amazonaws.services.machinelearning.model.DescribeMLModelsResult;
import com.amazonaws.services.machinelearning.model.MLModel;
import com.amazonaws.services.machinelearning.model.PredictRequest;
import com.amazonaws.services.machinelearning.model.PredictResult;
import com.amazonaws.services.machinelearning.model.RealtimeEndpointInfo;

juliensimon

<dependency>
    <groupId>com.amazonaws</groupId>
    <artifactId>aws-java-sdk</artifactId>
    <version>1.9.31</version>
</dependency>

juliensimon

Model name: ML model: Data3.txt
Model id: ml-noV4tkTZgnO
Model status: COMPLETED
Endpoint URL: https://realtime.machinelearning.us-east-1.amazonaws.com
Endpoint status: READY
Sending prediction request for: {firstname=Julien, gender=M, month=4, hour=10, minutes=26, state=Texas, day=106, items=5, age=44, lastname=Simon}
Predicted value:752.1902

juliensimon

[ec2-user@ip-172-30-1-10 ~]$ java -jar mlsample.jar
Model name: ML model: Data3.txt
Model id: ml-noV4tkTZgnO
Model status: COMPLETED
Endpoint URL: https://realtime.machinelearning.us-east-1.amazonaws.com
Endpoint status: READY
Sending prediction request for: {minutes=26, items=5, age=44, month=4, state=Texas, gender=M, lastname=Simon, hour=10, day=106, firstname=Julien}
80 ms
Predicted value:752.1902

juliensimon

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