coonfit.exceptions
==================

.. py:module:: coonfit.exceptions

.. autoapi-nested-parse::

   Custom exceptions for the coonfit inference workflow.

   Exceptions defined here are raised when the multiple linear regression
   pipeline encounters invalid predictor data or configuration errors, such as
   predictors with insufficient valid pixels or ill-conditioned regression setups.



Exceptions
----------

.. autoapisummary::

   coonfit.exceptions.InferenceError
   coonfit.exceptions.InvalidPredictorError


Module Contents
---------------

.. py:exception:: InferenceError

   Bases: :py:obj:`Exception`


   Some steps of a multiple linear regression have invalid parameters



.. py:exception:: InvalidPredictorError

   Bases: :py:obj:`Exception`


   Not all the provided predictors are valid.