message: Fixed Accuracy to be able to transform dynamically
diff: @@ -500,7 +500,7 @@ class MetricsContainer(Container):
  # Convenience feature for selecting b/t binary, categorical,
  # and sparse categorical.
  - if metric not in ['accuracy', 'acc', 'crossentropy', 'ce']:
  + if str(metric).lower() not in ['accuracy', 'acc', 'crossentropy', 'ce']:
  metric_obj = metrics_mod.get(metric)
  else:
  y_t_rank = len(y_t.shape.as_list())
  @@ -512,7 +512,7 @@ class MetricsContainer(Container):
  is_sparse_categorical = (
  y_t_rank < y_p_rank or y_t_last_dim == 1 and y_p_last_dim > 1)
  - if metric in ['accuracy', 'acc']:
  + if str(metric).lower() in ['accuracy', 'acc']:
  if is_binary:
  metric_obj = metrics_mod.binary_accuracy
  elif is_sparse_categorical:
  