The rmse function in the hana_ml.algorithms.pal.metrics module computes the Root Mean Square Error (RMSE) for regression results using a DataFrame of true and predicted values, with specified columns for true values and predicted values.
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Here is a Python code template for the `rmse` function from the `hana_ml.algorithms.pal.metrics` module:

```python
# Import required module
from hana_ml.algorithms.pal.metrics import rmse

# Define the column names
label_true = 'true_values'
label_pred = 'predicted_values'

# Compute RMSE
result = rmse(data, label_true, label_pred)

# Print the result
print("RMSE: ", result)
```

Please replace the DataFrame `data` with your actual data and adjust the `label_true` and `label_pred` according to your DataFrame's column names. The `rmse` function will return the Root Mean Square Error (RMSE) for the regression results.