noether.data.datasets.cfd.caeml.ahmedml.split
=============================================

.. py:module:: noether.data.datasets.cfd.caeml.ahmedml.split


Classes
-------

.. autoapisummary::

   noether.data.datasets.cfd.caeml.ahmedml.split.AhmedMLDefaultSplitIDs


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

.. py:class:: AhmedMLDefaultSplitIDs(/, **data)

   Bases: :py:obj:`noether.core.schemas.dataset.DatasetSplitIDs`


   Default split IDs for AhmedML dataset with validation.

   Create a new model by parsing and validating input data from keyword arguments.

   Raises [`ValidationError`][pydantic_core.ValidationError] if the input data cannot be
   validated to form a valid model.

   `self` is explicitly positional-only to allow `self` as a field name.


   .. py:attribute:: EXPECTED_TRAIN_SIZE
      :value: 400



   .. py:attribute:: EXPECTED_VAL_SIZE
      :value: 50



   .. py:attribute:: EXPECTED_TEST_SIZE
      :value: 50



   .. py:attribute:: DATASET_NAME
      :value: 'AhmedML'



   .. py:attribute:: train
      :type:  set[int]


   .. py:attribute:: val
      :type:  set[int]


   .. py:attribute:: test
      :type:  set[int]


   .. py:method:: create_split()
      :staticmethod:


      A helper function to create a random split of the dataset. The default indices were created with seed=42.