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This repository was archived by the owner on Jun 14, 2026. It is now read-only.
PolicyEngine
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microplex
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Add MultiSourceFusion pipeline for cross-survey synthesis
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Add real SIPP validation for ratio+transition model
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Fix ZI-QDNN coverage for rich holdouts with ratio+transition model
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Scale test: Logistic wins at high dimensions
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Multi-seed comparison with n=2000: RF wins but slow
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RF beats neural ZI: 6.60 vs 6.61 baseline
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Fair ZI comparison: GB beats neural logistic on same features
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Compare ZI classifiers on latent space: joint training still wins
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Add ZI-QDNN comparison: 29% coverage improvement with zero indicators
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Add coverage benchmark: VAE is 3x more sample-efficient
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Add synthesis model interfaces and PRDC evaluation metrics
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Add multi-method DGP comparison and additional synthesis methods
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Add PopulationDGP for multi-source population synthesis
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Update sparse coverage benchmark results
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Fix fusion training on sparse observations
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Fix numerical overflow in generate, improve clipping
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Refactor fusion into proper library API with tests
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Add multi-survey fusion: CPS + PUF → synthetic population
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Comment out unavailable optional dependencies
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Export merged cosilico-microdata modules from main __init__.py
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