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Imagine you are working with a dataset where each group has a unique pattern that needs to be modeled separately. How would you use the Pandas Function API to train and apply these group-specific models?
A
By using a Scalar Pandas UDF to apply a single model to the entire dataset.
B
By using a Grouped Map Pandas UDF to train and apply models to each group individually.
C
By using an Iterator Pandas UDF to process the dataset in chunks and apply a single model.
D
By using a Grouped Aggregate Pandas UDF to aggregate data before applying models.
