How to call the instance of class? - php

Question

I am using the setup, I download and setup package from github with link below:
https://github.com/graphaware/reco4php
I have also installed the php7 and neo7j they are running properly on localhost (ubuntu16.04).
I am getting error in browser:
Fatal error: Uncaught Error: Class 'GraphAware\Reco4PHP\Demo\Github\RecommendationEngine' not found in /var/www/html/recommendation_2/example.php:9 Stack trace: #0 {main} thrown in /var/www/html/recommendation_2/example.php on line 9
when hit example.php form browser.example.php file code below:
<?php
// example.php file
require_once __DIR__.'/vendor/autoload.php';
use GraphAware\Reco4PHP\Demo\Github\RecommendationEngine;
use GraphAware\Reco4PHP\RecommenderService;
$rs = RecommenderService::create("http://neo4j:idealindore#localhost:7474");
$rs->registerRecommendationEngine(new RecommendationEngine());
$stopwatch = new \Symfony\Component\Stopwatch\Stopwatch();
$input = $rs->findInputBy('User', 'login', 'jakzal');
$engine = $rs->getRecommender("github_who_to_follow");
$stopwatch->start('reco');
$recommendations = $engine->recommend($input);
$e = $stopwatch->stop('reco');
//echo $recommendations->size() . ' found in ' . $e->getDuration() . 'ms' .PHP_EOL;
foreach ($recommendations->getItems(10) as $reco) {
echo $reco->item()->get('login') . PHP_EOL;
echo $reco->totalScore() . PHP_EOL;
foreach ($reco->getScores() as $name => $score) {
echo "\t" . $name . ':' . $score->score() . PHP_EOL;
}
}
Can anybody help me how can I solve this issue?

Answer 1

You are getting this error because you did not use the right path to the classes.
Change This :
use GraphAware\Reco4PHP\Demo\Github\RecommendationEngine;
use GraphAware\Reco4PHP\RecommenderService;
to where you actually store These files.
RecommendationEngine.php
RecommenderService.php
Beside you also need to use these classes :
use GraphAware\Common\Cypher\Statement;
use GraphAware\Common\Type\Node;
use GraphAware\Reco4PHP\Context\Context;
use GraphAware\Reco4PHP\Engine\SingleDiscoveryEngine;
See This Link and follow the tutorial step by step to learn how to build a graph base recommendation system with Neo4J.
Also Check This Post if you have any problem with the tutorial.