binarize#

cuml.preprocessing.binarize(X, *, threshold=0.0, copy=True)[source]#

Boolean thresholding of array-like or sparse matrix

Parameters:

X{array-like, sparse matrix}, shape [n_samples, n_features]: The data to binarize, element by element.
thresholdfloat, optional (0.0 by default): Feature values below or equal to this are replaced by 0, above it by 1. Threshold may not be less than 0 for operations on sparse matrices.
copyboolean, optional, default True: Whether a forced copy will be triggered. If copy=False, a copy might be triggered by a conversion.