NonProbabilisticFit

class probnum.diffeq.odefilter.init_routines.NonProbabilisticFit(*, dt=0.01, observation_noise_std=1e-07, method='DOP853')[source]

Bases: _NonProbabilisticFitBase

Fit the prior process to a few steps of a non-probabilistic solver.

Attributes Summary

is_exact

Exactness of the computed initial values.

requires_jax

Whether the implementation of the routine relies on JAX.

Methods Summary

__call__(*, ivp, prior_process)

Call self as a function.

Attributes Documentation

Parameters
is_exact

Exactness of the computed initial values.

Some initialization routines yield the exact initial derivatives, some others only yield approximations.

requires_jax

Whether the implementation of the routine relies on JAX.

Methods Documentation

__call__(*, ivp, prior_process)

Call self as a function.

Parameters
Return type

RandomVariable