Binarizer is a function provided in the sklearn.preprocessing module of Python's scikit-learn library. It is used to transform numerical data into binary values based on a specified threshold. This preprocessing technique is commonly applied to convert continuous features into discrete values, such as converting probabilities into binary labels. Binarizer allows users to define the threshold value, marking any value equal to or greater than the threshold as 1 and any value below the threshold as 0.
Python Binarizer - 59 examples found. These are the top rated real world Python examples of sklearn.preprocessing.Binarizer extracted from open source projects. You can rate examples to help us improve the quality of examples.