php machine learning

<?php
include_once './vendor/autoload.php';
//source: https://www.softnix.co.th/2018/08/19/naive-bays-text-classification-with-php/


use Phpml\Classification\NaiveBayes;
use Phpml\FeatureExtraction\TfIdfTransformer;
use Phpml\FeatureExtraction\TokenCountVectorizer;
use Phpml\Tokenization\WordTokenizer;

$arr_text = [
    "London bridge is falling down",
    "Beatles in abbey road Apple Records",
    "japan samurai Universal Studio spider man",
    "2020 Olympic games in Tokyo",
    "China beijing olympic games 2008",
    "bailu village in shenmue 3",
    "Hamburger Donald Trump Mickey Mouse",
    "Universal Studio Hollywood Orlando Florida",
    
];
$arr_label = [
    "London", "London","Japan","Japan","China","China","USA","USA"
];

$tokenize = new WordTokenizer();
$vectorizer = new TokenCountVectorizer($tokenize);

$vectorizer->fit($arr_text);
$vocabulary = $vectorizer->getVocabulary();
$arr_transform = $arr_text;
$vectorizer->transform($arr_transform);

$transformer = new TfIdfTransformer($arr_transform);
$transformer->transform($arr_transform);

$classifier = new NaiveBayes();
$classifier->train($arr_transform, $arr_label);

$arr_testset = [
    'Yu Suzuki developed Shenmue',
    'I want to go Universal Studio',
    'I want to go Universal Studio because I want to watch spider man',
    'Sonic in 2020',
    'Shenmue'
];

$vectorizer->transform($arr_testset);
$transformer->transform($arr_testset);
$result = $classifier->predict($arr_testset);
var_dump($result);