parameters: (self,
               export_dir,
               input_fn=None,
               input_feature_key=None,
               use_deprecated_input_fn=True,
               signature_fn=None,
               default_batch_size=1,
               exports_to_keep=None)
return_statement: return self._estimator.export(
          export_dir=export_dir,
          input_fn=input_fn or default_input_fn,
          input_feature_key=input_feature_key,
          use_deprecated_input_fn=use_deprecated_input_fn,
          signature_fn=(
              signature_fn or export.classification_signature_fn_with_prob),
          prediction_key=_PROBABILITIES,
          default_batch_size=default_batch_size,
          exports_to_keep=exports_to_keep)
docstring: See BaseEstimator.export.
docstring_summary: See BaseEstimator.export.
docstring_tokens: See BaseEstimator . export .
function: def export(self,
               export_dir,
               input_fn=None,
               input_feature_key=None,
               use_deprecated_input_fn=True,
               signature_fn=None,
               default_batch_size=1,
               exports_to_keep=None):
      """See BaseEstimator.export."""
      def default_input_fn(unused_estimator, examples):
        return layers.parse_feature_columns_from_examples(
            examples, self._feature_columns)
      return self._estimator.export(
          export_dir=export_dir,
          input_fn=input_fn or default_input_fn,
          input_feature_key=input_feature_key,
          use_deprecated_input_fn=use_deprecated_input_fn,
          signature_fn=(
              signature_fn or export.classification_signature_fn_with_prob),
          prediction_key=_PROBABILITIES,
          default_batch_size=default_batch_size,
          exports_to_keep=exports_to_keep)
function_tokens: def export ( self , export_dir , input_fn = None , input_feature_key = None , use_deprecated_input_fn = True , signature_fn = None , default_batch_size = 1 , exports_to_keep = None ) : def default_input_fn ( unused_estimator , examples ) : return layers . parse_feature_columns_from_examples ( examples , self . _feature_columns ) return self . _estimator . export ( export_dir = export_dir , input_fn = input_fn or default_input_fn , input_feature_key = input_feature_key , use_deprecated_input_fn = use_deprecated_input_fn , signature_fn = ( signature_fn or export . classification_signature_fn_with_prob ) , prediction_key = _PROBABILITIES , default_batch_size = default_batch_size , exports_to_keep = exports_to_keep )