__  __    __   __  _____      _            _          _____ _          _ _ 
 |  \/  |   \ \ / / |  __ \    (_)          | |        / ____| |        | | |
 | \  / |_ __\ V /  | |__) | __ ___   ____ _| |_ ___  | (___ | |__   ___| | |
 | |\/| | '__|> <   |  ___/ '__| \ \ / / _` | __/ _ \  \___ \| '_ \ / _ \ | |
 | |  | | |_ / . \  | |   | |  | |\ V / (_| | ||  __/  ____) | | | |  __/ | |
 |_|  |_|_(_)_/ \_\ |_|   |_|  |_| \_/ \__,_|\__\___| |_____/|_| |_|\___V 2.1
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<?php

declare(strict_types=1);

namespace Phpml\Helper\Optimizer;

use Closure;
use Phpml\Exception\InvalidArgumentException;

abstract class Optimizer
{
    /**
     * Unknown variables to be found
     *
     * @var array
     */
    protected $theta = [];

    /**
     * Number of dimensions
     *
     * @var int
     */
    protected $dimensions;

    /**
     * Inits a new instance of Optimizer for the given number of dimensions
     */
    public function __construct(int $dimensions)
    {
        $this->dimensions = $dimensions;

        // Inits the weights randomly
        $this->theta = [];
        for ($i = 0; $i < $this->dimensions; ++$i) {
            $this->theta[] = (random_int(0, PHP_INT_MAX) / PHP_INT_MAX) + 0.1;
        }
    }

    public function setTheta(array $theta): self
    {
        if (count($theta) !== $this->dimensions) {
            throw new InvalidArgumentException(sprintf('Number of values in the weights array should be %s', $this->dimensions));
        }

        $this->theta = $theta;

        return $this;
    }

    public function theta(): array
    {
        return $this->theta;
    }

    /**
     * Executes the optimization with the given samples & targets
     * and returns the weights
     */
    abstract public function runOptimization(array $samples, array $targets, Closure $gradientCb): array;
}

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Name Type Size Permission Actions
ConjugateGradient.php File 8.34 KB 0777
GD.php File 2.97 KB 0777
Optimizer.php File 1.33 KB 0777
StochasticGD.php File 7.18 KB 0777
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