Update package version

Author: juaristi22

CHANGELOG.md

@@ -1,3 +1,51 @@
+## [1.79.3] - 2026-04-16
+
+### Changed
+
+- Add a chunked mixed-geography matrix builder for memory-bounded national
+  calibration (`--chunked-matrix`) that streams matrix columns in clone-household
+  chunks with resumable per-chunk COO shards, progress logging (running average,
+  elapsed, ETA), and a shared `entity_clone` module for household-subset
+  materialization.
+
+  Fix three target-input integrity bugs surfaced by a new
+  `analyze_target_consistency` diagnostic that flags cross-level and
+  AGI-bucket-coverage inconsistencies:
+
+  - Drop the IRS workbook override for `total_self_employment_income`,
+    `tax_unit_partnership_s_corp_income`, and `net_capital_gains`. The workbook
+    columns `business_net_profits` / `partnership_and_s_corp_income` /
+    `capital_gains_gross` are gross-only, while the geography-file line codes
+    00900 / 26270 / 01000 already report net-of-loss. The override inflated
+    these national targets by +40.7% / +26.1% / +3.1% at 2023 values. After
+    the fix, all three reconcile to the penny across national, state, and
+    district levels.
+  - Remove the self-employment QRF winsor in `puf_impute.py`. QRF predictions
+    are already bounded by training support; the 0.5/99.5 percentile clip
+    was discarding the top 0.5% of legitimate signal and truncating imputed
+    self-employment income at ~$1.1M vs the PUF training max of $74.6M.
+  - Replace percentile-based top selection in `create_stratified_cps` with
+    per-bracket caps (400/400/400/300/300 for the $500k-$1M through $10M+
+    bands). Stops PUF templates from piling up above $10M and starving the
+    middle-high $1M-$10M range.
+
+  Split calibration checkpoint signature validation into fatal structural
+  mismatches and soft hyperparameter mismatches, letting callers tune
+  `lambda_l0`, `beta`, `lambda_l2`, and `learning_rate` across resume phases.
+
+  Add `income_tax` national and state SOI targets, drop the unachievable
+  JCT `deductible_mortgage_interest` target, and preserve positive mortgage
+  interest inputs through structural conversion.
+
+  Retune the national Modal calibration to `lambda_l0=2e-2` at 1000 epochs
+  and align `modal_app/pipeline.py` `log_freq` to 100.
+
+  Harden `make clean` so its ignored-CSV cleanup skips local environment and
+  dependency directories such as `.venv/`, `venv/`, `env/`, `.tox/`, `.nox/`,
+  and `node_modules/`, avoiding accidental deletion of package data inside local
+  virtual environments.
+
+
 ## [1.79.2] - 2026-04-14
 
 ### Fixed

changelog.d/753.changed.md

@@ -8,7 +8,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "policyengine_us_data"
-version = "1.79.2"
+version = "1.79.3"
 description = "A package to create representative microdata for the US."
 readme = "README.md"
 authors = [