teras.models.TabNetPretrainer
=============================

.. currentmodule:: teras.models

.. autoclass:: TabNetPretrainer

   
   .. automethod:: __init__

   
   .. rubric:: Methods

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

   
   
   .. rubric:: Attributes

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