code: private static void checkForUnknownRegularizer(Map<String, Object> regularizerConfig, boolean enforceTrainingConfig,
                                                     KerasLayerConfiguration conf)
              throws UnsupportedKerasConfigurationException {
          if (regularizerConfig != null) {
              for (String field : regularizerConfig.keySet()) {
                  if (!field.equals(conf.getREGULARIZATION_TYPE_L1()) && !field.equals(conf.getREGULARIZATION_TYPE_L2())
                          && !field.equals(conf.getLAYER_FIELD_NAME())
                          && !field.equals(conf.getLAYER_FIELD_CLASS_NAME())
                          && !field.equals(conf.getLAYER_FIELD_CONFIG())) {
                      if (enforceTrainingConfig)
                          throw new UnsupportedKerasConfigurationException("Unknown regularization field " + field);
                      else
                          log.warn("Ignoring unknown regularization field " + field);
                  }
              }
          }
      }
docs: Check whether Keras weight regularization is of unknown type. Currently prints a warning
  since main use case for model import is inference, not further training. Unlikely since
  standard Keras weight regularizers are L1 and L2.
  
  @param regularizerConfig Map containing Keras weight reguarlization configuration