class_docstr: Represents the output of a regression head.
class_docstr_tok: ["Represents","the","output","of","a","regression","head","."]
code: def as_signature_def(self, receiver_tensors):
      if len(receiver_tensors) != 1:
          raise ValueError(
              "Regression input must be a single string Tensor; "
              "got {}".format(receiver_tensors)
          )
      ((_, examples),) = receiver_tensors.items()
      if dtypes.as_dtype(examples.dtype) != dtypes.string:
          raise ValueError(
              "Regression input must be a single string Tensor; "
              "got {}".format(receiver_tensors)
          )
      return signature_def_utils.regression_signature_def(
          examples, self.value
      )
  
imports: import abc
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.keras.saving.utils_v1 import signature_def_utils
  from tensorflow.python.saved_model import signature_def_utils
label_desc: Use image node_id 3 for calling the RegressionOutput obj's underlying member method code with example usage: obj.as_signature_def(receiver_tensors) and returns: signature_def_utils