## softmax()


Compute softmax probabilities.


Usage


``` python
softmax(values)
```


For a vector :math:`z`, the softmax of element :math:`j` is:

.. math::

    \text{softmax}(z)_j = \frac{e^{z_j}}{\sum_{k=1}^{K} e^{z_k}}


## Parameters


`values: list`  
Input values.


## Returns


`list`  
Probability distribution that sums to 1.