The WordCloud class in the hana_ml.visualizers module extends from wordcloud.WordCloud and provides methods to generate a word cloud from a SAP HANA DataFrame, with customizable parameters such as font size, color, and language.
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Here is a Python code template for the `WordCloud` class in the `hana_ml.visualizers.word_cloud` module:

```python
from hana_ml.visualizers.word_cloud import WordCloud
import matplotlib.pyplot as plt

# Initialize WordCloud
wordcloud = WordCloud(
    font_path=None, 
    width=400, 
    height=200, 
    margin=2, 
    ranks_only=None, 
    prefer_horizontal=0.9, 
    mask=None, 
    scale=1, 
    color_func=None, 
    max_words=200, 
    min_font_size=4, 
    stopwords=None, 
    random_state=None, 
    background_color='black', 
    max_font_size=None, 
    font_step=1, 
    mode='RGB', 
    relative_scaling='auto', 
    regexp=None, 
    collocations=True, 
    colormap=None, 
    normalize_plurals=True, 
    contour_width=0, 
    contour_color='black', 
    repeat=False, 
    include_numbers=False, 
    min_word_length=0, 
    collocation_threshold=30
)

# Assuming `data` is a DataFrame
wordcloud.build(data=data, content_column="CONTENT", lang='EN')

# Display the wordcloud
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
plt.show()
```

Please replace `"CONTENT"` with the actual column name in your DataFrame that you want to generate the word cloud from. Also, replace `'EN'` with the language of your text if it's not English. If `data` is not defined, you need to define it as your input DataFrame.