# InverseScaling¶

Reduces the learning rate using a power schedule.

Assuming an initial learning rate $$\eta$$, the learning rate at step $$t$$ is:

$\\frac{eta}{(t + 1) ^ p}$

where $$p$$ is a user-defined parameter.

## Parameters¶

• learning_rate ('float')

• power – defaults to 0.5

## Methods¶

get

Returns the learning rate at a given iteration.

Parameters

• t ('int')