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GD:: (4 methods):
runOptimization()
gradient()
updateWeightsWithUpdates()
clear()
runOptimization(array $samples, array $targets, Closure $gradientCb) X-Ref |
Number of samples given |
gradient(array $theta) X-Ref |
Calculates gradient, cost function and penalty term for each sample then returns them as an array of values |
updateWeightsWithUpdates(array $updates, float $penalty) X-Ref |
No description |
clear() X-Ref |
Clears the optimizer internal vars after the optimization process. |