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php-ml
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code style fixes

This commit is contained in:
Arkadiusz Kondas 2016-08-14 18:27:08 +02:00
parent f0bd5ae424
commit 638119fc98
1 changed files with 7 additions and 8 deletions
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15
src/Phpml/Regression/MLPRegressor.php
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@ -4,7 +4,6 @@ declare (strict_types = 1);
namespace Phpml\Regression; namespace Phpml\Regression;
use Phpml\Helper\Predictable; use Phpml\Helper\Predictable;
use Phpml\NeuralNetwork\ActivationFunction; use Phpml\NeuralNetwork\ActivationFunction;
use Phpml\NeuralNetwork\Network\MultilayerPerceptron; use Phpml\NeuralNetwork\Network\MultilayerPerceptron;
@ -40,12 +39,12 @@ class MLPRegressor implements Regression
private $activationFunction; private $activationFunction;
/** /**
* @param array $hiddenLayers * @param array $hiddenLayers
* @param float $desiredError * @param float $desiredError
* @param int $maxIterations * @param int $maxIterations
* @param ActivationFunction $activationFunction * @param ActivationFunction $activationFunction
*/ */
public function __construct(array $hiddenLayers = [100], float $desiredError, int $maxIterations, ActivationFunction $activationFunction = null) public function __construct(array $hiddenLayers = [10], float $desiredError = 0.01, int $maxIterations = 10000, ActivationFunction $activationFunction = null)
{ {
$this->hiddenLayers = $hiddenLayers; $this->hiddenLayers = $hiddenLayers;
$this->desiredError = $desiredError; $this->desiredError = $desiredError;
@ -53,14 +52,15 @@ class MLPRegressor implements Regression
$this->activationFunction = $activationFunction; $this->activationFunction = $activationFunction;
} }
/** /**
* @param array $samples * @param array $samples
* @param array $targets * @param array $targets
*/ */
public function train(array $samples, array $targets) public function train(array $samples, array $targets)
{ {
$layers = [count($samples[0])] + $this->hiddenLayers + [count($targets[0])]; $layers = $this->hiddenLayers;
array_unshift($layers, count($samples[0]));
$layers[] = count($targets[0]);
$this->perceptron = new MultilayerPerceptron($layers, $this->activationFunction); $this->perceptron = new MultilayerPerceptron($layers, $this->activationFunction);
@ -77,5 +77,4 @@ class MLPRegressor implements Regression
{ {
return $this->perceptron->setInput($sample)->getOutput(); return $this->perceptron->setInput($sample)->getOutput();
} }
} }