Htykuut

I'm using this library to implement a basic machine learning in a project. I'm trying to loop over an array of teams of a competition and then use every single match as a label for a prediction about a percentage of success.
I'm training the script and all it seem to be ok in this part, but when I try to output the result of the prediction, there will be displayed only the first two team of the file. What I'm doing wrong with the loop?

This is the output of the machine learning library

array(1) { [0]=> array(2) { ["Frosinone Calcio"]=> float(0.413733) ["AC Chievo Verona"]=> float(0.586267) } }

array(1) { [0]=> array(2) { ["Frosinone Calcio"]=> float(0.58545) ["AC Chievo Verona"]=> float(0.41455) } }

array(1) { [0]=> array(2) { ["Frosinone Calcio"]=> float(0.58545) ["AC Chievo Verona"]=> float(0.41455) } } 

But I expect something like this:

array(1) { [0]=> array(2) { ["Frosinone Calcio"]=> float(0.413733) ["AC Chievo Verona"]=> float(0.586267) } }

array(1) { [0]=> array(2) { ["Juventus"]=> float(0.58545) ["Milan"]=> float(0.41455) } }

array(1) { [0]=> array(2) { ["Sassuolo"]=> float(0.58545) ["Empoli"]=> float(0.41455) } }

// ecc...

Here is my code:

<?php

require_once __DIR__ . '/vendor/autoload.php';



use PhpmlClassificationSVC;

use PhpmlSupportVectorMachineKernel;

use PhpmlDatasetArrayDataset;



$data = json_decode(file_get_contents('serie_a.json'),true);



$classifier = new SVC(

    Kernel::LINEAR, // $kernel

    1.0,            // $cost

    3,              // $degree

    null,           // $gamma

    0.0,            // $coef0

    0.001,          // $tolerance

    100,            // $cacheSize

    true,           // $shrinking

    true            // $probabilityEstimates, set to true

);



foreach($data['matches'] as $match){

   $homeTeam = $match['homeTeam']['name'];

   $awayTeam = $match['awayTeam']['name'];

   #$matchday = $match['matchday'];

   #$oldDate = new DateTime($match['utcDate']);

   #$date = $oldDate->format('Y-m-d');

   $labels = ["$homeTeam", "$awayTeam"];

}



$samples = [[1, 0], [1, 1], [0, 1]];



$classifier->train($samples, $labels);



echo '<pre>'.var_dump($classifier->predictProbability([[1, 0]])).'</pre>';

echo '<pre>'.var_dump($classifier->predictProbability([[1, 1]])).'</pre>';

echo '<pre>'.var_dump($classifier->predictProbability([[0, 1]])).'</pre>';

//$classifier->predictProbability([[3, 2], [1, 5]]);

// return [

//   ['a' => 0.349833, 'b' => 0.650167],

//   ['a' => 0.922664, 'b' => 0.0773364],

// ]

?>