simulators

This module provides Simulator, make_simulator(), and several other kinds of Simulator implementations, which serve as generative mathematical models, or data generating processes, with their primary function being to sample data.

Functions

make_simulator()

Classes

HierarchicalSimulator(hierarchy)
LambdaSimulator(sample_fn, *[, is_batched])	Implements a simulator based on a sampling function.
LotkaVolterra([X0, Y0, T, subsample, ...])	Lotka Volterra simulated benchmark.
ModelComparisonSimulator(simulators[, p, ...])	Wraps a sequence of simulators for use with a model comparison approximator.
SIR([N, T, I0, R0, subsample, total_count, ...])	SIR simulated benchmark See: https://arxiv.org/pdf/2101.04653.pdf, Task T.9
SequentialSimulator(simulators[, expand_outputs])	Combines multiple simulators into one, sequentially.
Simulator()
TwoMoons([lower_bound, upper_bound, rng])	Two moons simulated benchmark.