=============
 AutoMl
=============

AutoMl implements a hyperparameter search algorithm
to find the best model (BERT, Albert, RoBERTa etc.)
and parameters (learning rate, batch size etc.) automatically
without the need of any manual configuration. This drastically
reduces the amount of work that must be done by users to find
a good hyperparameter setup in order to train high quality models.

You can find a complete code example how to use the
AutoML class in the tutorials.

.. toctree::
   :maxdepth: 2
   :caption: Contents:
             
.. autoclass:: autonlu.AutoMl
   :members: create, load_dataset

.. autoclass:: autonlu.automl.Categorical

.. autoclass:: autonlu.automl.IntRange
               
.. autoclass:: autonlu.automl.FloatRange