[source] # Step Decay A learning rate decay optimizer that reduces the global learning rate by a factor whenever it reaches a new *floor*. The number of steps needed to reach a new floor is defined by the *steps* hyper-parameter. ## Parameters | # | Name | Default | Type | Description | |---|---|---|---|---| | 1 | rate | 0.01 | float | The learning rate that controls the global step size. | | 2 | steps | 100 | int | The size of every floor in steps. i.e. the number of steps to take before applying another factor of decay. | | 3 | decay | 1e-3 | float | The factor to decrease the learning rate at each *floor*. | ## Example ```php use Rubix\ML\NeuralNet\Optimizers\StepDecay; $optimizer = new StepDecay(0.1, 50, 1e-3); ```