pastas.solver.objective_function.misfit
=======================================

.. py:function:: pastas.solver.objective_function.misfit(ml: pastas.typing.Model, p: pastas.typing.ArrayLike, noise: bool, weights: pandas.Series | None = None, callback: collections.abc.Callable | None = None, returnseparate: bool = False) -> pastas.typing.ArrayLike | tuple[pastas.typing.ArrayLike, pastas.typing.ArrayLike, pastas.typing.ArrayLike]

   
   Shared objective function for solvers to calculate residuals or noise.

   :param p: Array of parameter values.
   :type p: np.ndarray
   :param noise: If True, minimizes the sum of squared noise computed by the NoiseModel.
   :type noise: bool
   :param ml: The model instance containing residuals and noise methods.
   :type ml: object
   :param weights: Weights to scale the residuals or noise.
   :type weights: pandas.Series, optional
   :param callback: Function to call after each iteration.
   :type callback: Callable, optional
   :param returnseparate: If True, returns residuals, noise, and noise weights separately.
   :type returnseparate: bool, optional

   :returns: The calculated residuals or noise, optionally with separate components.
   :rtype: np.ndarray or tuple[np.ndarray, np.ndarray, np.ndarray]















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