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  4. diffprivlib.mechanisms.base.TruncationAndFoldingMixin.check_inputs
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How to use the diffprivlib.mechanisms.base.TruncationAndFoldingMixin.check_inputs function in diffprivlib

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github IBM / differential-privacy-library / diffprivlib / mechanisms / laplace.py View on Github external
def check_inputs(self, value):
        super().check_inputs(value)
        TruncationAndFoldingMixin.check_inputs(self, value)

        return True
github IBM / differential-privacy-library / diffprivlib / mechanisms / laplace.py View on Github external
def randomise(self, value):
        TruncationAndFoldingMixin.check_inputs(self, value)

        noisy_value = super().randomise(value)
        return self._truncate(noisy_value)
github IBM / differential-privacy-library / diffprivlib / mechanisms / geometric.py View on Github external
def randomise(self, value):
        TruncationAndFoldingMixin.check_inputs(self, value)

        noisy_value = super().randomise(value)
        return int(np.round(self._fold(noisy_value)))
github IBM / differential-privacy-library / diffprivlib / mechanisms / laplace.py View on Github external
def check_inputs(self, value):
        super().check_inputs(value)
        TruncationAndFoldingMixin.check_inputs(self, value)

        return True
github IBM / differential-privacy-library / diffprivlib / mechanisms / laplace.py View on Github external
def randomise(self, value):
        TruncationAndFoldingMixin.check_inputs(self, value)

        noisy_value = super().randomise(value)
        return self._fold(noisy_value)
github IBM / differential-privacy-library / diffprivlib / mechanisms / geometric.py View on Github external
def randomise(self, value):
        TruncationAndFoldingMixin.check_inputs(self, value)

        noisy_value = super().randomise(value)
        return int(np.round(self._truncate(noisy_value)))

diffprivlib

IBM Differential Privacy Library

GitHub
MIT
Latest version published 3 months ago

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77 / 100
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