dasf.ml.model_selection.split
=============================

.. py:module:: dasf.ml.model_selection.split


Classes
-------

.. autoapisummary::

   dasf.ml.model_selection.split.train_test_split


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

.. py:class:: train_test_split(output='train', test_size=None, train_size=None, random_state=None, shuffle=None, blockwise=True, convert_mixed_types=False, **kwargs)

   Bases: :py:obj:`dasf.transforms.TargeteredTransform`, :py:obj:`dasf.transforms.Transform`


   Class representing a Targetered Transform operation of the pipeline.

   This specific transform operates according the parameters of the
   constructor.

   Parameters
   ----------
   run_local : bool
       Define that the operator will run locally and not distributed.
   run_gpu : bool
       Define if the operator will use GPU(s) or not.


   Constructor of the class TargeteredTransform. 


   .. py:attribute:: output


   .. py:attribute:: test_size


   .. py:attribute:: train_size


   .. py:attribute:: random_state


   .. py:attribute:: shuffle


   .. py:attribute:: blockwise


   .. py:attribute:: convert_mixed_types


   .. py:method:: _lazy_transform_cpu(X)

      Respective lazy transform mocked function for CPUs.



   .. py:method:: _lazy_transform_gpu(X)
      :abstractmethod:


      Respective lazy transform mocked function for GPUs.



   .. py:method:: _transform_cpu(X)

      Respective immediate transform mocked function for local CPU(s).



   .. py:method:: _transform_gpu(X)

      Respective immediate transform mocked function for local GPU(s).