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
• Twisted Gaussian distribution