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
This is a dispatch function that will accept a list of simulators (callables) returning dictionaries with simulated outputs. |
Classes
|
Bernoulli GLM simulated benchmark See: https://arxiv.org/pdf/2101.04653.pdf, Task T.5 |
|
Bernoulli GLM raw simulated benchmark. |
|
Gaussian Linear simulated benchmark See: https://arxiv.org/pdf/2101.04653.pdf, Task T.1 |
|
Gaussian Linear Uniform simulated benchmark See: https://arxiv.org/pdf/2101.04653.pdf, Task T.2 |
|
Gaussian Mixture simulated benchmark See: https://arxiv.org/pdf/2101.04653.pdf, Task T.7 |
|
Initialize the hierarchical simulator with a sequence of simulators. |
|
Inverse Kinematics simulated benchmark See: https://arxiv.org/pdf/2101.10763.pdf |
|
Implements a simulator based on a sampling function. |
|
Lotka Volterra simulated benchmark. |
|
Wraps a sequence of simulators for use with a model comparison approximator. |
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SIR simulated benchmark See: https://arxiv.org/pdf/2101.04653.pdf, Task T.9 |
|
SLCP simulated benchmark See https://arxiv.org/pdf/2101.04653.pdf, Task T.3 |
|
SLCP Distractors simulated benchmark See: https://arxiv.org/pdf/2101.04653.pdf, Task T.4 |
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Combines multiple simulators into one, sequentially. |
|
Two moons simulated benchmark. |