teras.models.CTGANGenerator
===========================

.. currentmodule:: teras.models

.. autoclass:: CTGANGenerator

   
   .. automethod:: __init__

   
   .. rubric:: Methods

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

   
   
   .. rubric:: Attributes

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