original_docstring: 
      From the model type and parameters, this function instantiates a Keras Model
      It can be used to create any type of model, and not only RNN (see build_test)
      
docstring: From the model type and parameters, this function instantiates a Keras Model
  It can be used to create any type of model, and not only RNN
docstring_tokens: From the model type and parameters this function instantiates a Keras Model It can be used to create any type of model and not only RNN
code: def instantiate_model(model_type, model_params, *args):
      """
      From the model type and parameters, this function instantiates a Keras Model
      It can be used to create any type of model, and not only RNN (see build_test)
      """
      m = ModelBuilder(model_params)
      models = {'bibigru':'build_bibigru',
                  'gru_cnn': 'build_gru_cnn',
                  'pooled_gru':'build_pooled_gru',
                  'cnn_gru':'build_cnn_gru',
                  'ngram_cnn':'build_ngram_cnn',
                  'test':'build_test'}
  
      if model_type in models:
          builder_name = models[model_type]
          builder = getattr(m, builder_name)
          return builder(*args)#max_sequence_length, max_nb_words, embedding_dimension, embedding_matrix)
  
      else:
          raise Exception("Model %s not implemented" % model_type)
code_tokens: def instantiate_model ( model_type , model_params , * args ) : m = ModelBuilder ( model_params ) models = { 'bibigru' : 'build_bibigru' , 'gru_cnn' : 'build_gru_cnn' , 'pooled_gru' : 'build_pooled_gru' , 'cnn_gru' : 'build_cnn_gru' , 'ngram_cnn' : 'build_ngram_cnn' , 'test' : 'build_test' } if model_type in models : builder_name = models [ model_type ] builder = getattr ( m , builder_name ) return builder ( * args ) else : raise Exception ( "Model %s not implemented" % model_type )
short_docstring: From the model type and parameters, this function instantiates a Keras Model
  It can be used to create any type of model, and not only RNN (see build_test)
short_docstring_tokens: From the model type and parameters this function instantiates a Keras Model It can be used to create any type of model and not only RNN ( see build_test )
comment: """
      From the model type and parameters, this function instantiates a Keras Model
      It can be used to create any type of model, and not only RNN (see build_test)
      """$SEP$#max_sequence_length, max_nb_words, embedding_dimension, embedding_matrix)