teras.layers.TabNetAttentiveTransformer
=======================================

.. currentmodule:: teras.layers

.. autoclass:: TabNetAttentiveTransformer

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~TabNetAttentiveTransformer.__init__
      ~TabNetAttentiveTransformer.add_loss
      ~TabNetAttentiveTransformer.add_metric
      ~TabNetAttentiveTransformer.add_variable
      ~TabNetAttentiveTransformer.add_weight
      ~TabNetAttentiveTransformer.build
      ~TabNetAttentiveTransformer.build_from_config
      ~TabNetAttentiveTransformer.call
      ~TabNetAttentiveTransformer.compute_mask
      ~TabNetAttentiveTransformer.compute_output_shape
      ~TabNetAttentiveTransformer.compute_output_spec
      ~TabNetAttentiveTransformer.count_params
      ~TabNetAttentiveTransformer.from_config
      ~TabNetAttentiveTransformer.get_build_config
      ~TabNetAttentiveTransformer.get_config
      ~TabNetAttentiveTransformer.get_weights
      ~TabNetAttentiveTransformer.load_own_variables
      ~TabNetAttentiveTransformer.quantize
      ~TabNetAttentiveTransformer.quantized_call
      ~TabNetAttentiveTransformer.save_own_variables
      ~TabNetAttentiveTransformer.set_weights
      ~TabNetAttentiveTransformer.stateless_call
      ~TabNetAttentiveTransformer.symbolic_call
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~TabNetAttentiveTransformer.compute_dtype
      ~TabNetAttentiveTransformer.dtype
      ~TabNetAttentiveTransformer.dtype_policy
      ~TabNetAttentiveTransformer.input
      ~TabNetAttentiveTransformer.input_dtype
      ~TabNetAttentiveTransformer.input_spec
      ~TabNetAttentiveTransformer.losses
      ~TabNetAttentiveTransformer.metrics
      ~TabNetAttentiveTransformer.metrics_variables
      ~TabNetAttentiveTransformer.non_trainable_variables
      ~TabNetAttentiveTransformer.non_trainable_weights
      ~TabNetAttentiveTransformer.output
      ~TabNetAttentiveTransformer.path
      ~TabNetAttentiveTransformer.quantization_mode
      ~TabNetAttentiveTransformer.supports_masking
      ~TabNetAttentiveTransformer.trainable
      ~TabNetAttentiveTransformer.trainable_variables
      ~TabNetAttentiveTransformer.trainable_weights
      ~TabNetAttentiveTransformer.variable_dtype
      ~TabNetAttentiveTransformer.variables
      ~TabNetAttentiveTransformer.weights