sciquence.postprocessing.ClasswiseBinarizer¶
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class
sciquence.postprocessing.
ClasswiseBinarizer
(thresholds)[source]¶ Performing binarization classwise.
It may be used for binarize independently multiple class in the tagging tasks.
Parameters: thresholds (list of float or numpy.ndarray) – Binarization thresholds for all the classes Methods
__init__
(thresholds)x.__init__(…) initializes x; see help(type(x)) for signature fit
(X[, y])Does nothing fit_transform
(X[, y])Fit to data, then transform it. get_params
([deep])Get parameters for this estimator. set_params
(**params)Set the parameters of this estimator. transform
(X[, y, copy])Perform classwise binarization, i.e.