Add OpenSetCategoricalInitializer to local_mode initialization#13
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Introduces an initializer for open-set categorical attributes that uses the DP-SIPS algorithm to privately discover significant partitions from data. The discovered partitions plus a default catch-all value form a CategoricalAttribute, and the noisy counts from SIPS are reused as the histogram measurement (no separate budget needed for the histogram). Follows the same conventions as NumericalInitializer and CategoricalInitializer: dataclass with name/attribute/rng fields, dp_event() method returning a ComposedDpEvent, and __call__() returning a ColumnMeasurement. PiperOrigin-RevId: 931290389
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Add OpenSetCategoricalInitializer to local_mode initialization
Introduces an initializer for open-set categorical attributes that uses
the DP-SIPS algorithm to privately discover significant partitions from
data. The discovered partitions plus a default catch-all value form a
CategoricalAttribute, and the noisy counts from SIPS are reused as the
histogram measurement (no separate budget needed for the histogram).
Follows the same conventions as NumericalInitializer and
CategoricalInitializer: dataclass with name/attribute/rng fields,
dp_event() method returning a ComposedDpEvent, and call() returning
a ColumnMeasurement.