The function mae in the hana_ml.algorithms.pal.metrics module computes the Mean Absolute Error (MAE) 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 function described in the help doc:

```python
# Import necessary module
from hana_ml.algorithms.pal.metrics import mae

# Define your DataFrame, true label column, and predicted label column
data = # Your DataFrame here
label_true = # Your true label column here
label_pred = # Your predicted label column here

# Compute MAE
result = mae(data, label_true, label_pred)

# Print the result
print(result)
```

Please replace the placeholders with your actual DataFrame and column names.