docs: public static LossFunctions.LossFunction mapLossFunction(String kerasLoss, KerasLayerConfiguration conf)
              throws UnsupportedKerasConfigurationException {
          LossFunctions.LossFunction dl4jLoss;
          if (kerasLoss.equals(conf.getKERAS_LOSS_MEAN_SQUARED_ERROR()) ||
                  kerasLoss.equals(conf.getKERAS_LOSS_MSE())) {
              dl4jLoss = LossFunctions.LossFunction.SQUARED_LOSS;
          } else if (kerasLoss.equals(conf.getKERAS_LOSS_MEAN_ABSOLUTE_ERROR()) ||
                  kerasLoss.equals(conf.getKERAS_LOSS_MAE())) {
              dl4jLoss = LossFunctions.LossFunction.MEAN_ABSOLUTE_ERROR;
          } else if (kerasLoss.equals(conf.getKERAS_LOSS_MEAN_ABSOLUTE_PERCENTAGE_ERROR()) ||
                  kerasLoss.equals(conf.getKERAS_LOSS_MAPE())) {
              dl4jLoss = LossFunctions.LossFunction.MEAN_ABSOLUTE_PERCENTAGE_ERROR;
          } else if (kerasLoss.equals(conf.getKERAS_LOSS_MEAN_SQUARED_LOGARITHMIC_ERROR()) ||
                  kerasLoss.equals(conf.getKERAS_LOSS_MSLE())) {
              dl4jLoss = LossFunctions.LossFunction.MEAN_SQUARED_LOGARITHMIC_ERROR;
          } else if (kerasLoss.equals(conf.getKERAS_LOSS_SQUARED_HINGE())) {
              dl4jLoss = LossFunctions.LossFunction.SQUARED_HINGE;
          } else if (kerasLoss.equals(conf.getKERAS_LOSS_HINGE())) {
              dl4jLoss = LossFunctions.LossFunction.HINGE;
          } else if (kerasLoss.equals(conf.getKERAS_LOSS_SPARSE_CATEGORICAL_CROSSENTROPY())) {
              throw new UnsupportedKerasConfigurationException("Loss function " + kerasLoss + " not supported yet.");
          } else if (kerasLoss.equals(conf.getKERAS_LOSS_BINARY_CROSSENTROPY())) {
              dl4jLoss = LossFunctions.LossFunction.XENT;
          } else if (kerasLoss.equals(conf.getKERAS_LOSS_CATEGORICAL_CROSSENTROPY())) {
              dl4jLoss = LossFunctions.LossFunction.MCXENT;
          } else if (kerasLoss.equals(conf.getKERAS_LOSS_KULLBACK_LEIBLER_DIVERGENCE()) ||
                  kerasLoss.equals(conf.getKERAS_LOSS_KLD())) {
              dl4jLoss = LossFunctions.LossFunction.KL_DIVERGENCE;
          } else if (kerasLoss.equals(conf.getKERAS_LOSS_POISSON())) {
              dl4jLoss = LossFunctions.LossFunction.POISSON;
          } else if (kerasLoss.equals(conf.getKERAS_LOSS_COSINE_PROXIMITY())) {
              dl4jLoss = LossFunctions.LossFunction.COSINE_PROXIMITY;
          } else {
              throw new UnsupportedKerasConfigurationException("Unknown Keras loss function " + kerasLoss);
          }
          return dl4jLoss;
      }