UnknownHazard

class Python_modules.mmcomplexity.UnknownHazard(stimulus_object, sources_prior=(0.5, 0.5))

Bases: Python_modules.mmcomplexity.BinaryDecisionMaker

Methods Summary

process([observations, hazard])

This is where the bulk of the decision process occurs.

Methods Documentation

process(observations=None, hazard=None)

This is where the bulk of the decision process occurs. Observations are converted into a decision variable.

For now, only the log posterior odds of the sources is computed, and hazard rate is assumed fixed.

Args:

observations (list): sequence of perceived sound locations. If None, self.observations is used hazard: hazard rate, if None, the one from the stimulus_object attribute is fetched

Returns:

generator object that yields (joint posterior, decisions)

joint posterior is a dict…

todo: implement this method