teras.models.TabNetEncoderBackbone
==================================

.. currentmodule:: teras.models

.. autoclass:: TabNetEncoderBackbone

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~TabNetEncoderBackbone.__init__
      ~TabNetEncoderBackbone.add_loss
      ~TabNetEncoderBackbone.add_metric
      ~TabNetEncoderBackbone.add_variable
      ~TabNetEncoderBackbone.add_weight
      ~TabNetEncoderBackbone.build
      ~TabNetEncoderBackbone.build_from_config
      ~TabNetEncoderBackbone.call
      ~TabNetEncoderBackbone.compile
      ~TabNetEncoderBackbone.compile_from_config
      ~TabNetEncoderBackbone.compiled_loss
      ~TabNetEncoderBackbone.compute_loss
      ~TabNetEncoderBackbone.compute_mask
      ~TabNetEncoderBackbone.compute_metrics
      ~TabNetEncoderBackbone.compute_output_shape
      ~TabNetEncoderBackbone.compute_output_spec
      ~TabNetEncoderBackbone.count_params
      ~TabNetEncoderBackbone.evaluate
      ~TabNetEncoderBackbone.export
      ~TabNetEncoderBackbone.fit
      ~TabNetEncoderBackbone.from_config
      ~TabNetEncoderBackbone.get_build_config
      ~TabNetEncoderBackbone.get_compile_config
      ~TabNetEncoderBackbone.get_config
      ~TabNetEncoderBackbone.get_layer
      ~TabNetEncoderBackbone.get_metrics_result
      ~TabNetEncoderBackbone.get_weights
      ~TabNetEncoderBackbone.load_own_variables
      ~TabNetEncoderBackbone.load_weights
      ~TabNetEncoderBackbone.loss
      ~TabNetEncoderBackbone.make_predict_function
      ~TabNetEncoderBackbone.make_test_function
      ~TabNetEncoderBackbone.make_train_function
      ~TabNetEncoderBackbone.predict
      ~TabNetEncoderBackbone.predict_on_batch
      ~TabNetEncoderBackbone.predict_step
      ~TabNetEncoderBackbone.quantize
      ~TabNetEncoderBackbone.quantized_call
      ~TabNetEncoderBackbone.reset_metrics
      ~TabNetEncoderBackbone.save
      ~TabNetEncoderBackbone.save_own_variables
      ~TabNetEncoderBackbone.save_weights
      ~TabNetEncoderBackbone.set_weights
      ~TabNetEncoderBackbone.stateless_call
      ~TabNetEncoderBackbone.stateless_compute_loss
      ~TabNetEncoderBackbone.summary
      ~TabNetEncoderBackbone.symbolic_call
      ~TabNetEncoderBackbone.test_on_batch
      ~TabNetEncoderBackbone.test_step
      ~TabNetEncoderBackbone.to_json
      ~TabNetEncoderBackbone.train_on_batch
      ~TabNetEncoderBackbone.train_step
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~TabNetEncoderBackbone.compiled_metrics
      ~TabNetEncoderBackbone.compute_dtype
      ~TabNetEncoderBackbone.distribute_reduction_method
      ~TabNetEncoderBackbone.distribute_strategy
      ~TabNetEncoderBackbone.dtype
      ~TabNetEncoderBackbone.dtype_policy
      ~TabNetEncoderBackbone.input
      ~TabNetEncoderBackbone.input_dtype
      ~TabNetEncoderBackbone.input_spec
      ~TabNetEncoderBackbone.jit_compile
      ~TabNetEncoderBackbone.layers
      ~TabNetEncoderBackbone.losses
      ~TabNetEncoderBackbone.metrics
      ~TabNetEncoderBackbone.metrics_names
      ~TabNetEncoderBackbone.metrics_variables
      ~TabNetEncoderBackbone.non_trainable_variables
      ~TabNetEncoderBackbone.non_trainable_weights
      ~TabNetEncoderBackbone.output
      ~TabNetEncoderBackbone.path
      ~TabNetEncoderBackbone.quantization_mode
      ~TabNetEncoderBackbone.run_eagerly
      ~TabNetEncoderBackbone.supports_masking
      ~TabNetEncoderBackbone.trainable
      ~TabNetEncoderBackbone.trainable_variables
      ~TabNetEncoderBackbone.trainable_weights
      ~TabNetEncoderBackbone.variable_dtype
      ~TabNetEncoderBackbone.variables
      ~TabNetEncoderBackbone.weights