pygsti.extras.drift.probtrajectory

Functions for Fourier analysis of equally spaced time-series data

Functions

amplitude_compression(probtrajectory, times)	Reduces the amplitudes in a CosineProbTrajectory model until the model is valid, i.e., all probabilities are within [0, 1].
maxlikelihood(probtrajectory, clickstreams, ...)	Implements maximum likelihood estimation over a model for a time-resolved probabilities trajectory, and returns the maximum likelihood model.
negloglikelihood(probtrajectory, ...[, ...])	The negative log-likelihood of a ProbTrajectory, modelling a time-dependent probability distribution.
probsdict_negloglikelihood(probs, clickstreams)	The negative log-likelihood of varying probabilities probs, evaluated for the data streams in clickstreams.

Classes

ConstantProbTrajectory(outcomes, probabilities)	Encapulates a time-dependent probability distribution that is actually a constant.
CosineProbTrajectory(outcomes, ...)	Encapulates a time-dependent probability distribution that is parameterized as a sum of cosines.
ProbTrajectory(outcomes, hyperparameters, ...)	Encapulates a time-dependent probability distribution, as a sum of time-dependent basis functions.