Normal

class pyhf.probability.Normal(loc, scale)

Bases: pyhf.probability._SimpleDistributionMixin

The Normal distribution with mean loc and standard deviation scale.

Example

>>> import pyhf
>>> means = pyhf.tensorlib.astensor([5, 8])
>>> stds = pyhf.tensorlib.astensor([1, 0.5])
>>> pyhf.probability.Normal(means, stds)
<pyhf.probability.Normal object at 0x...>

__init__(loc, scale)

Parameters:

• loc (tensor or float) – The mean of the Normal distribution

• scale (tensor or float) – The standard deviation of the Normal distribution

Methods

expected_data()

The expectation value of the Normal distribution.

Example

>>> import pyhf
>>> means = pyhf.tensorlib.astensor([5, 8])
>>> stds = pyhf.tensorlib.astensor([1, 0.5])
>>> normals = pyhf.probability.Normal(means, stds)
>>> normals.expected_data()
array([5., 8.])

Returns:

The mean of the Normal distribution (which is the loc)

Return type:

Tensor