HorseshoePrior._tracked_label#

HorseshoePrior._tracked_label()[source]#

What the averaged diagnostic is.

The result’s shrinkage_label; it contains "scale", which is how shrinkage_scales() knows the diagnostic is a scale rather than an inclusion probability.

Return type:

str

Returns:

The label.

Example

>>> HorseshoePrior()._tracked_label()
'posterior mean local-global scale of the standardized coefficient'