check_valid_estimators
======================

.. py:module:: check_valid_estimators


Functions
---------

.. autoapisummary::

   check_valid_estimators.check_valid_estimators


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

.. py:function:: check_valid_estimators(estimators, order)

   Ensure estimators is a list of (name, estimator) tuples, consisting of individual models or pipelines to be processed through the voting or stacking classifying ensemble. Each tuple contains a string: name/label of estimator, and a model: the estimator, which implements
       the scikit-learn API (`fit`, `predict`, etc.), and raise errors according to conditions of failed check

   :param estimators (Any):
   :type estimators (Any): The input value to process
   :param order (Str):
   :type order (Str): The order in which `estimators` was passed as input parameters in the calling function
   :param Raises:
   :param TypeError:
   :type TypeError: If estimators is of an unsupported type
   :param ValueError:
   :type ValueError: If estimators is a list that contains 0 or 1 element
   :param Returns:
   :param None:

   .. rubric:: Examples

   >>> check_valid_X([], 'first')