pastas.solver.EmceeSolve.log_probability#

pastas.solver.EmceeSolve.log_probability(p: pastas.typing.ArrayLike, noise: bool | None = False, weights: pandas.Series | None = None, callback: pastas.typing.CallBack | None = None) → float#

Full log-probability called by Emcee.

Parameters:

  • p (numpy.Array) – Numpy array with the parameters.

  • noise (bool, optional) – If True, the noise model is applied to the residuals.

  • weights (pandas.Series, optional) – Series with weights for the residuals.

  • callback (callable, optional) – Callback function that will be called after each iteration of the solver.

Returns:

log_probability

Return type:

float