- probnum.problems.zoo.filtsmooth.logistic_ode(y0=None, timespan=(0.0, 2.0), step=0.1, params=(6.0, 1.0), initrv=None, evlvar=None, ek0_or_ek1=1, exclude_initial_condition=True, order=3, forward_implementation='classic', backward_implementation='classic')¶
Filtering/smoothing setup for a probabilistic ODE solver for the logistic ODE.
This state space model assumes an integrated Brownian motion prior on the dynamics and constructs the ODE likelihood based on the vector field defining the logistic ODE.
bool) – Whether the resulting regression problem should exclude (i.e. not contain) the initial condition of the ODE. Optional. Default is True, which means that the initial condition is omitted.
str) – Implementation of the forward transitions inside prior and measurement model. Optional. Default is classic. For improved numerical stability, use sqrt.
str) – Implementation of the backward transitions inside prior and measurement model. Optional. Default is classic. For improved numerical stability, use sqrt.
TimeSeriesRegressionProblemobject with time points and zero-observations.
info – Dictionary containing additional information like the prior process.