Fix calibration: AGI-conditional geography + relative loss#671
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Fix calibration: AGI-conditional geography + relative loss#671
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…rgets - Switch loss_type from "relative" to "capped_relative" in L0 optimizer. Caps relative error at ±10 (max loss 100 per target) to prevent extreme PUF-inflated targets from hijacking gradients. - Disable state_income_tax targets: ETL hardcodes $0 for WA and NH, but PolicyEngine computes non-zero tax (WA capital gains, NH interest/dividends). The $0 targets produced catastrophic loss crushing WA/NH weights to zero. - Enable district AGI, AGI bins, and JCT reform targets in config. - Result: 15,900 targets, median error 0.6% at epoch 500. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Route top-10% AGI households to congressional districts proportional to CD AGI targets instead of uniform random assignment. This prevents the optimizer from having to zero out extreme-income records in low-AGI districts, which was destroying population targets. Also reverts loss_type from "capped_relative" back to "relative" to restore AGI gradient signal. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
"relative": Restores AGI gradient signal that"capped_relative"(commit 1c47b20) was clipping.Results (epoch 1000)
Test plan
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