# Optimal

Optimal learning schedule as proposed by Léon Bottou.

## Parameters

- **loss**

  *Type* → `optim.losses.Loss`
- **alpha**

  *Type* → `float`

  *Default* → `0.0001`

## Methods

> [!NOTE]
>
> **get**
>
> Returns the learning rate at a given iteration.
>
> **Parameters**
>
> - **t** — `int`

## References

- [Bottou, L., 2012. Stochastic gradient descent tricks. In Neural networks: Tricks of the trade (pp. 421-436). Springer, Berlin, Heidelberg.](<https://cilvr.cs.nyu.edu/diglib/lsml/bottou-sgd-tricks-2012.pdf>)