The TomekLinks class in the hana_ml.algorithms.pal.preprocessing module is used for performing under-sampling by removing Tomek's links, with various parameters to specify distance method, Minkowski power, thread ratio, search method, sampling strategy, and category weights.
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Here is a Python code template for the `TomekLinks` class:

```python
from hana_ml.algorithms.pal.preprocessing import TomekLinks

# Instantiate the TomekLinks class
tomeklinks = TomekLinks(distance_level='euclidean', 
                        minkowski_power=3, 
                        thread_ratio=0, 
                        search_method='brute-force', 
                        sampling_strategy='majority', 
                        category_weights=0.707)

# Perform under-sampling on given datasets by removing Tomek's links
res = tomeklinks.fit_transform(data=df, label='TYPE')
```

Please replace `df` with your actual DataFrame and `'TYPE'` with the actual label in your DataFrame.