The FunctionTransformer class in Python's scikit-learn library (sklearn.preprocessing) is used to apply a user-defined function to each input data sample. It enables transforming input data using a specific function during pre-processing or feature engineering tasks. This class helps in customizing the transformation process by allowing users to specify their own functions and apply them to the input data. It is a flexible tool that can be used in various machine learning pipelines to perform custom transformations on data.
Python FunctionTransformer - 39 examples found. These are the top rated real world Python examples of sklearn.preprocessing.FunctionTransformer extracted from open source projects. You can rate examples to help us improve the quality of examples.