The Python scikit-learn `Pipeline.fit` function is used to fit the model with the given training data. It sequentially applies the data transformations and estimator in the pipeline and trains the model on the provided input features and target values. This function is essential for training the pipeline and enabling the transformation and prediction steps to be executed on the provided data.
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