parameters: (self, x=None, y=None, input_fn=None, feed_fn=None,
                 batch_size=None, steps=None, metrics=None, name=None)
return_statement: return self._estimator.evaluate(
          x=x, y=y, input_fn=input_fn, feed_fn=feed_fn, batch_size=batch_size,
          steps=steps, metrics=metrics, name=name)
docstring: See evaluable.Evaluable.
docstring_summary: See evaluable.Evaluable.
docstring_tokens: See evaluable . Evaluable .
function: def evaluate(self, x=None, y=None, input_fn=None, feed_fn=None,
                 batch_size=None, steps=None, metrics=None, name=None):
      """See evaluable.Evaluable."""
      if metrics is None:
        metrics = {}
      metrics.update({
          "accuracy": metric_spec.MetricSpec(
              metric_fn=metrics_lib.streaming_accuracy,
              prediction_key=_CLASSES,
              weight_key=self._weight_column_name)})
      if self._n_classes == 2:
        metrics.update({
            "auc": metric_spec.MetricSpec(
                metric_fn=metrics_lib.streaming_auc,
                prediction_key=_LOGISTIC,
                weight_key=self._weight_column_name)})
      return self._estimator.evaluate(
          x=x, y=y, input_fn=input_fn, feed_fn=feed_fn, batch_size=batch_size,
          steps=steps, metrics=metrics, name=name)
function_tokens: def evaluate ( self , x = None , y = None , input_fn = None , feed_fn = None , batch_size = None , steps = None , metrics = None , name = None ) : if metrics is None : metrics = { } metrics . update ( { "accuracy" : metric_spec . MetricSpec ( metric_fn = metrics_lib . streaming_accuracy , prediction_key = _CLASSES , weight_key = self . _weight_column_name ) } ) if self . _n_classes == 2 : metrics . update ( { "auc" : metric_spec . MetricSpec ( metric_fn = metrics_lib . streaming_auc , prediction_key = _LOGISTIC , weight_key = self . _weight_column_name ) } ) return self . _estimator . evaluate ( x = x , y = y , input_fn = input_fn , feed_fn = feed_fn , batch_size = batch_size , steps = steps , metrics = metrics , name = name )