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/lib/mlbackend/php/phpml/src/Phpml/Classification/Linear/ -> Adaline.php (source)

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Defines 1 class

Adaline:: (2 methods):
  __construct()
  runTraining()


Class: Adaline  - X-Ref

__construct(float $learningRate = 0.001,int $maxIterations = 1000,bool $normalizeInputs = true,int $trainingType = self::BATCH_TRAINING)   X-Ref
Initalize an Adaline (ADAptive LInear NEuron) classifier with given learning rate and maximum
number of iterations used while training the classifier <br>

Learning rate should be a float value between 0.0(exclusive) and 1.0 (inclusive) <br>
Maximum number of iterations can be an integer value greater than 0 <br>
If normalizeInputs is set to true, then every input given to the algorithm will be standardized
by use of standard deviation and mean calculation


runTraining(array $samples, array $targets)   X-Ref
Adapts the weights with respect to given samples and targets
by use of gradient descent learning rule