Toy problems¶
The toy module provides toy models
,
distributions
and
error measures
that can be used for tests and in
examples.
Some toy classes provide extra functionality defined in the
pints.toy.ToyModel
and pints.toy.ToyLogPDF
classes.
- Toy base classes
- Annulus Distribution
- Beeler-Reuter Action Potential Model
- Cone Distribution
- Constant Model
- Eight Schools distribution
- Fitzhugh-Nagumo Model
- Gaussian distribution
- German Credit Hierarchical Logistic Distribution
- German Credit Logistic Distribution
- Goodwin oscillator model
- HES1 Michaelis-Menten Model
- High dimensional Gaussian distribution
- Hodgkin-Huxley IK Experiment Model
- Logistic model
- Lotka-Volterra model
- Multimodal Gaussian distribution
- Neal’s Funnel Distribution
- Parabolic error
- Repressilator model
- Rosenbrock function
- Simple Egg Box Distribution
- Simple Harmonic Oscillator model
- SIR Epidemiology model
- Stochastic degradation model
- Stochastic Logistic Model
- Twisted Gaussian distribution