:py:mod:`ontolearn.clip_architectures`
======================================

.. py:module:: ontolearn.clip_architectures


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

Classes
~~~~~~~

.. autoapisummary::

   ontolearn.clip_architectures.LengthLearner_LSTM
   ontolearn.clip_architectures.LengthLearner_GRU
   ontolearn.clip_architectures.LengthLearner_CNN
   ontolearn.clip_architectures.LengthLearner_SetTransformer




.. py:class:: LengthLearner_LSTM(input_size, output_size, proj_dim=256, rnn_n_layers=2, drop_prob=0.2)


   Bases: :py:obj:`ontolearn.nces_modules.nn.Module`

   LSTM architecture

   .. py:method:: forward(x1, x2)

      Forward pass through the network.



.. py:class:: LengthLearner_GRU(input_size, output_size, proj_dim=256, rnn_n_layers=2, drop_prob=0.2)


   Bases: :py:obj:`ontolearn.nces_modules.nn.Module`

   GRU architecture

   .. py:method:: forward(x1, x2)

      Forward pass through the network.



.. py:class:: LengthLearner_CNN(input_size, output_size, num_examples, proj_dim=256, kernel_size: list = [[5, 7], [5, 7]], stride: list = [[3, 3], [3, 3]], drop_prob=0.2)


   Bases: :py:obj:`ontolearn.nces_modules.nn.Module`

   CNN architecture

   .. py:method:: forward(x1, x2)

      Forward pass through the network.



.. py:class:: LengthLearner_SetTransformer(input_size, output_size, proj_dim=256, num_heads=4, num_seeds=1, num_inds=32)


   Bases: :py:obj:`ontolearn.nces_modules.nn.Module`

   SetTransformer architecture.

   .. py:method:: forward(x1, x2)

      Forward pass through the network.