PHP Класс MCordingley\Regression\Algorithm\GradientDescent\StoppingCriteria\GradientNorm

Good for Batch descent, when the gradient is fairly stable from one iteration to the next. Not so good for Stochastic descent and MiniBatch with small batch sizes, as those gradients won't settle near zero even as the weights converge.

Наследование: implements MCordingley\Regression\Algorithm\GradientDescent\StoppingCriteria\StoppingCriteria

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Открытые методы

Метод	Описание
__construct ( float $eta = 6.103515625E-5, integer $pNorm = 2 )
converged ( array $gradient, array $coefficients ) : boolean

Описание методов

__construct() публичный Метод

public __construct ( float $eta = 6.103515625E-5, integer $pNorm = 2 )
$eta	float
$pNorm	integer

converged() публичный Метод

public converged ( array $gradient, array $coefficients ) : boolean
$gradient	array
$coefficients	array
Результат	boolean