NonProbabilisticFit¶
- class probnum.diffeq.odefilter.init_routines.NonProbabilisticFit(*, dt=0.01, observation_noise_std=1e-07, method='DOP853')[source]¶
Bases:
probnum.diffeq.odefilter.init_routines._non_probabilistic_fit._NonProbabilisticFitBase
Fit the prior process to a few steps of a non-probabilistic solver.
Attributes Summary
Exactness of the computed initial values.
Whether the implementation of the routine relies on JAX.
Methods Summary
__call__
(*, ivp, prior_process)Call self as a function.
Attributes Documentation
- is_exact¶
Exactness of the computed initial values.
Some initialization routines yield the exact initial derivatives, some others only yield approximations.
- Return type
Methods Documentation
- __call__(*, ivp, prior_process)¶
Call self as a function.
- Return type