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https://github.com/Llewellynvdm/php-ml.git
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Ability to update learningRate in MLP (#160)
* Allow people to update the learning rate * Test for learning rate setter
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@ -45,6 +45,12 @@ $mlp->partialTrain(
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```
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```
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You can update the learning rate between partialTrain runs:
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```
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$mlp->setLearningRate(0.1);
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```
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## Predict
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## Predict
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To predict sample label use predict method. You can provide one sample or array of samples:
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To predict sample label use predict method. You can provide one sample or array of samples:
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@ -95,6 +95,12 @@ abstract class MultilayerPerceptron extends LayeredNetwork implements Estimator,
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}
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}
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}
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}
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public function setLearningRate(float $learningRate): void
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{
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$this->learningRate = $learningRate;
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$this->backpropagation->setLearningRate($this->learningRate);
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}
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/**
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/**
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* @param mixed $target
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* @param mixed $target
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*/
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*/
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@ -25,6 +25,11 @@ class Backpropagation
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private $prevSigmas = null;
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private $prevSigmas = null;
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public function __construct(float $learningRate)
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public function __construct(float $learningRate)
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{
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$this->setLearningRate($learningRate);
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}
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public function setLearningRate(float $learningRate): void
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{
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{
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$this->learningRate = $learningRate;
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$this->learningRate = $learningRate;
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}
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}
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@ -0,0 +1,28 @@
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<?php
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declare(strict_types=1);
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namespace tests\Phpml\NeuralNetwork\Network;
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use Phpml\NeuralNetwork\Network\MultilayerPerceptron;
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use PHPUnit\Framework\TestCase;
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class MultilayerPerceptronTest extends TestCase
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{
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public function testLearningRateSetter(): void
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{
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$mlp = $this->getMockForAbstractClass(
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MultilayerPerceptron::class,
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[5, [3], [0, 1], 1000, null, 0.42]
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);
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$this->assertEquals(0.42, $this->readAttribute($mlp, 'learningRate'));
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$backprop = $this->readAttribute($mlp, 'backpropagation');
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$this->assertEquals(0.42, $this->readAttribute($backprop, 'learningRate'));
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$mlp->setLearningRate(0.24);
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$this->assertEquals(0.24, $this->readAttribute($mlp, 'learningRate'));
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$backprop = $this->readAttribute($mlp, 'backpropagation');
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$this->assertEquals(0.24, $this->readAttribute($backprop, 'learningRate'));
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}
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}
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