:py:mod:`abacusai.custom_loss_function`
=======================================

.. py:module:: abacusai.custom_loss_function


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

Classes
~~~~~~~

.. autoapisummary::

   abacusai.custom_loss_function.CustomLossFunction




.. py:class:: CustomLossFunction(client, notebookId=None, name=None, createdAt=None, lossFunctionName=None, lossFunctionType=None, codeSource={})

   Bases: :py:obj:`abacusai.return_class.AbstractApiClass`

   Custom Loss Function

   :param client: An authenticated API Client instance
   :type client: ApiClient
   :param notebookId: The unique identifier of the notebook used to create/edit the loss function.
   :type notebookId: str
   :param name: Name assigned to the custom loss function.
   :type name: str
   :param createdAt: When the loss function was created.
   :type createdAt: str
   :param lossFunctionName: The name of the function defined in the source code.
   :type lossFunctionName: str
   :param lossFunctionType: The category of problems that this loss would be applicable to, e.g. regression, multi-label classification, etc.
   :type lossFunctionType: str
   :param codeSource: Information about the source code of the loss function.
   :type codeSource: CodeSource

   .. py:method:: __repr__()

      Return repr(self).


   .. py:method:: to_dict()

      Get a dict representation of the parameters in this class

      :returns: The dict value representation of the class parameters
      :rtype: dict



