pastas.solver.EmceeSolve.log_probability
========================================

.. py:method:: 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.

   :param p: Numpy array with the parameters.
   :type p: numpy.Array
   :param noise: If True, the noise model is applied to the residuals.
   :type noise: bool, optional
   :param weights: Series with weights for the residuals.
   :type weights: pandas.Series, optional
   :param callback: Callback function that will be called after each iteration of the solver.
   :type callback: callable, optional

   :returns: **log_probability**
   :rtype: float















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