yamle.methods.evidential_regression module#

class yamle.methods.evidential_regression.EvidentialRegressionMethod(alpha=1, *args, **kwargs)[source]#

Bases: MCSamplingMethod

This class is the extension of the base method for which the prediciton is performed using Evidence Regression.

Parameters:

alpha (float) – The alpha parameter regularising between the negative log likelihood and the KL divergence.

tasks = ['regression']#
static add_specific_args(parent_parser)[source]#

This method is used to add the specific arguments for the class.

Return type:

ArgumentParser