The Python `sklearn.preprocessing.Binarizer.transform` method is used to transform a dataset by binarizing its features. Binarization is the process of converting numerical features into binary values based on a threshold. The method takes a numerical matrix or array as input and applies the binarization transformation to convert the values above the threshold to 1 and the values equal to or below the threshold to 0. The output is a new matrix or array with the transformed binary values.
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