Package com.google.privacy.differentialprivacy

Class BoundedMean.Params.Builder

java.lang.Object

com.google.privacy.differentialprivacy.BoundedMean.Params.Builder

Enclosing class:

BoundedMean.Params

public abstract static class BoundedMean.Params.Builder
extends java.lang.Object

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
BoundedMean	build()
abstract BoundedMean.Params.Builder	delta(java.lang.Double value)	Delta DP parameter.
abstract BoundedMean.Params.Builder	epsilon(double value)	Epsilon DP parameter.
abstract BoundedMean.Params.Builder	lower(double value)	Lower bound for the entries added to the mean.
abstract BoundedMean.Params.Builder	maxContributionsPerPartition(int value)	Max contributions per partition from a single privacy unit (e.g., an individual).
abstract BoundedMean.Params.Builder	maxPartitionsContributed(int value)	Maximum number of partitions that a single privacy unit (e.g., an individual) is allowed to contribute to.
abstract BoundedMean.Params.Builder	noise(Noise value)	Noise that will be used to make the mean differentially private.
abstract BoundedMean.Params.Builder	upper(double value)	Upper bound for the entries added to the mean.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Builder

public Builder()

Method Detail

epsilon

public abstract BoundedMean.Params.Builder epsilon(double value)

Epsilon DP parameter.

delta

public abstract BoundedMean.Params.Builder delta(@Nullable
                                                 java.lang.Double value)

Delta DP parameter.

Note that Laplace noise does not use delta. Hence, delta should not be set when Laplace noise is used.

maxPartitionsContributed

public abstract BoundedMean.Params.Builder maxPartitionsContributed(int value)

Maximum number of partitions that a single privacy unit (e.g., an individual) is allowed to contribute to.

maxContributionsPerPartition

public abstract BoundedMean.Params.Builder maxContributionsPerPartition(int value)

Max contributions per partition from a single privacy unit (e.g., an individual).

noise

public abstract BoundedMean.Params.Builder noise(Noise value)

Noise that will be used to make the mean differentially private.

lower

public abstract BoundedMean.Params.Builder lower(double value)

Lower bound for the entries added to the mean. Any entires smaller than this value will be set to this value.

upper

public abstract BoundedMean.Params.Builder upper(double value)

Upper bound for the entries added to the mean. Any entires greater than this value will be set to this value.

build

public BoundedMean build()