Add histogram-based numerical initialization to DP Synth#54
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Introduces `sufficient_statistics.py` in `local_mode/`, providing DP quantile computation from pre-aggregated sparse histograms. This enables numerical attribute initialization without access to raw data, supporting the sufficient-statistics pipeline. New public functions: - `quantiles_from_histogram`: recursive median splits via discrete exponential mechanism, matching `DPQuantiles` budget allocation. - `column_measurement_from_histogram`: convenience wrapper that chains quantile computation with edge post-processing to produce a `ColumnMeasurement`. Also extracts `_edges_to_column_measurement` from `NumericalInitializer` as a private helper shared between data-based and histogram-based paths. PiperOrigin-RevId: 938035670
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Add histogram-based numerical initialization to DP Synth
Introduces
sufficient_statistics.pyinlocal_mode/, providing DPquantile computation from pre-aggregated sparse histograms. This enables
numerical attribute initialization without access to raw data, supporting
the sufficient-statistics pipeline.
New public functions:
quantiles_from_histogram: recursive median splits via discreteexponential mechanism, matching
DPQuantilesbudget allocation.column_measurement_from_histogram: convenience wrapper that chainsquantile computation with edge post-processing to produce a
ColumnMeasurement.Also extracts
_edges_to_column_measurementfromNumericalInitializeras a private helper shared between data-based and histogram-based paths.