The `FunctionTransformer` class in the `sklearn.preprocessing` module is used to apply a given function to the input data. It allows the transformation of arbitrary functions into transformer objects that can be used in a machine learning pipeline. This class provides a flexible way to perform custom data transformations, such as converting the data to a logarithmic scale or applying a specific mathematical operation. It can be particularly useful when the desired transformation is not available as a predefined transformer in scikit-learn.
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