Add health insurance premiums to local area calibration #473
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- Add build_calibration_matrix.py runner for building X_sparse matrix with SNAP + health_insurance_premiums_without_medicare_part_b targets - Add test_sparse_matrix_builder.py with tests for person-level aggregation and combined target support - Update changelog_entry.yaml Closes #472 Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
- Add fit_calibration_weights.py for L0-regularized weight optimization - Add l0-python as optional dependency under [project.optional-dependencies] - Uses SparseCalibrationWeights from l0.calibration package - Builds calibration matrix for all 436 congressional districts - Filters to achievable targets before fitting Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Summary
build_calibration_matrix.pyrunner script for building sparse calibration matrices with combined SNAP and health insurance premium targetstest_sparse_matrix_builder.pywith tests for person-level aggregation and combined target supportDetails
The
health_insurance_premiums_without_medicare_part_bvariable is a person-level target that needs to be aggregated to household level. The existingsparse_matrix_builder.pyalready handles this through PolicyEngine'smap_to="household"parameter, which automatically sums person-level values to household level while preserving totals.Closes #472
Test plan
pytest policyengine_us_data/tests/test_sparse_matrix_builder.py- 3 tests passpython build_calibration_matrix.pyfrom the local_area_calibration directory🤖 Generated with Claude Code