teras.models.Regressor
======================

.. currentmodule:: teras.models

.. autoclass:: Regressor

   
   .. automethod:: __init__

   
   .. rubric:: Methods

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

   
   
   .. rubric:: Attributes

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