Amazon API Gateway + Lambda + Amazon Machine Learning で会員の購買予測が出来るWordPressプラグインを作る ref: http://qiita.com/horike37/items/cd9995e986249d011a7b

file0.js

var aws = require('aws-sdk');
var machinelearning = new aws.MachineLearning();
var params = {
  MLModelId: '<Machine LearningのモデルID>'
};

exports.handler = function(event, context) {
  machinelearning.getMLModel(params, function(err, data) {
    if (err) {
      console.log(err, err.stack);
    } else {
      var params = {
        MLModelId: '<Machine LearningのモデルID>',
        PredictEndpoint: data.EndpointInfo.EndpointUrl,
        Record: {
          age: event.age,
          job: event.job,
          marital: event.marital,
          education: event.education,
          default: event.default,
          housing: event.housing,
          loan: event.loan,
          contact: event.contact,
          month: event.month,
          day_of_week: event.day_of_week,
          duration: event.duration,
          campaign: event.campaign,
          pdays: event.pdays,
          previous: event.previous,
          poutcome: event.poutcome,
          emp_var_rate: event.emp_var_rate,
          cons_price_idx: event.cons_price_idx,
          cons_conf_idx: event.cons_conf_idx,
          euribor3m: event.euribor3m,
          nr_employed: event.nr_employed,
        }
      };
      machinelearning.predict(params, function(err, data) {
        if (err) console.log(err, err.stack);
        else     context.succeed(data);
      });
    }
  });
};

file1.txt

{
  "Prediction": {
    "details": {
      "Algorithm": "SGD",
      "PredictiveModelType": "BINARY"
    },
    "predictedLabel": "1",
    "predictedScores": {
      "1": 0.3982754647731781
    }
  }
}

file2.php

$response = wp_remote_get('<API Gatewayへのエンドポイント>?age='.<AGE>.'&job='.<job>.・・・・<other parameter>);
if( !is_wp_error( $response ) && $response["response"]["code"] === 200 ) {
    $response_body = json_decode($response["body"]);
    update_user_meta( $user_id, 'Predict', $response_body );
} else {
    // Handle error here.
}

file3.php

class WP_Machine_Learning_Sample {
    private static $instance;
    private function __construct() {}

    public static function get_instance() {
        if( !isset( self::$instance ) ) {
            $c = __CLASS__;
            self::$instance = new $c();
        }
        return self::$instance;
    }

    public function init() {
        add_filter( 'manage_users_columns', array( $this, 'manage_users_columns' ) );
        add_filter( 'manage_users_custom_column', array( $this, 'manage_users_custom_column' ), 10, 3 );
    }

    public function manage_users_custom_column( $val, $column_name, $user_id ) {
        $predict = get_user_meta( $user_id, 'predict', true );

        if ( empty($predict) ) {
            return;
        }

        $predict = json_decode($predict);   

        switch ($column_name) {
            case 'kobaiyosoku' :
                if ( $predict->Prediction->predictedLabel === '1') {
                    return '契約してくれそう';
                } else {
                    return '契約してくれなさそう';
                }

                break;
            case 'kobaiscore' :
                $label = $predict->Prediction->predictedLabel;
                return $predict->Prediction->predictedScores->{$label};
                break;
            default:
        }

        return $val;
    }

    public function manage_users_columns( $column ) {
        $column['kobaiyosoku'] = '購買予測';
        $column['kobaiscore'] = 'スコア';
        return $column;
    }
}
$wpmls_instance = WP_Machine_Learning_Sample::get_instance();
$wpmls_instance->init();