Scaled#

class pymc_extras.prior.Scaled(dist: Prior, factor: XTensorLike)[source]#

Scaled distribution for numerical stability.

This is the same as multiplying the variable by a constant factor.

Parameters:

  • dist (Prior) – The prior distribution to scale.

  • factor (pt.TensorLike) – The scaling factor. This will have to be broadcastable to the dimensions of the distribution.

Examples

Create a scaled normal distribution.

from pymc_extras.prior import Prior, Scaled

normal = Prior("Normal", mu=0, sigma=1)
# Same as Normal(mu=0, sigma=10)
scaled_normal = Scaled(normal, factor=10)
__init__(dist: Prior, factor: XTensorLike) → None[source]#

Methods

__init__(dist, factor)

create_variable(name[, xdist])

Create a scaled variable.

Attributes

dims

The dimensions of the scaled distribution.