EmbeddingELModel
================

.. currentmodule:: mowl.base_models

.. autoclass:: EmbeddingELModel
   :show-inheritance:

   .. rubric:: Attributes Summary

   .. autosummary::

      ~EmbeddingELModel.class_embeddings
      ~EmbeddingELModel.eval_gci_name
      ~EmbeddingELModel.evaluation_model
      ~EmbeddingELModel.head_entities
      ~EmbeddingELModel.individual_embeddings
      ~EmbeddingELModel.object_property_embeddings
      ~EmbeddingELModel.tail_entities
      ~EmbeddingELModel.testing_dataloaders
      ~EmbeddingELModel.testing_datasets
      ~EmbeddingELModel.testing_set
      ~EmbeddingELModel.training_dataloaders
      ~EmbeddingELModel.training_datasets
      ~EmbeddingELModel.training_set
      ~EmbeddingELModel.validation_dataloaders
      ~EmbeddingELModel.validation_datasets

   .. rubric:: Methods Summary

   .. autosummary::

      ~EmbeddingELModel.add_axioms
      ~EmbeddingELModel.compute_loss
      ~EmbeddingELModel.eval_method
      ~EmbeddingELModel.from_pretrained
      ~EmbeddingELModel.generate_negatives
      ~EmbeddingELModel.get_embeddings
      ~EmbeddingELModel.get_negative_sampling_config
      ~EmbeddingELModel.get_optimizer
      ~EmbeddingELModel.get_regularization_loss
      ~EmbeddingELModel.init_module
      ~EmbeddingELModel.load_best_model
      ~EmbeddingELModel.load_pairwise_eval_data
      ~EmbeddingELModel.score
      ~EmbeddingELModel.train

   .. rubric:: Attributes Documentation

   .. autoattribute:: class_embeddings
   .. autoattribute:: eval_gci_name
   .. autoattribute:: evaluation_model
   .. autoattribute:: head_entities
   .. autoattribute:: individual_embeddings
   .. autoattribute:: object_property_embeddings
   .. autoattribute:: tail_entities
   .. autoattribute:: testing_dataloaders
   .. autoattribute:: testing_datasets
   .. autoattribute:: testing_set
   .. autoattribute:: training_dataloaders
   .. autoattribute:: training_datasets
   .. autoattribute:: training_set
   .. autoattribute:: validation_dataloaders
   .. autoattribute:: validation_datasets

   .. rubric:: Methods Documentation

   .. automethod:: add_axioms
   .. automethod:: compute_loss
   .. automethod:: eval_method
   .. automethod:: from_pretrained
   .. automethod:: generate_negatives
   .. automethod:: get_embeddings
   .. automethod:: get_negative_sampling_config
   .. automethod:: get_optimizer
   .. automethod:: get_regularization_loss
   .. automethod:: init_module
   .. automethod:: load_best_model
   .. automethod:: load_pairwise_eval_data
   .. automethod:: score
   .. automethod:: train