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Formula models, JSON candidates, training loop and control charts - #7
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BaptisteDE
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Oct 1, 2026
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- FormulaModel: forward models declared as whitelisted text formulas (no eval), saved as their spec by PymcWrapper.save_model
- models.py frozen; legacy_formulas maps the 23 legacy models to equivalent formulas (tested for exact equivalence)
- candidates/training: candidate JSON config, fit/evaluate/compare and train_candidates loop (moved from sonergia)
- control_charts: X-bar, EWMA, CUSUM stats and plots (moved from sonergia)
- save_model/load_model accept str paths
- FormulaModel: forward models declared as whitelisted text formulas (no eval), saved as their spec by PymcWrapper.save_model - models.py frozen; legacy_formulas maps the 23 legacy models to equivalent formulas (tested for exact equivalence) - candidates/training: candidate JSON config, fit/evaluate/compare and train_candidates loop (moved from sonergia) - control_charts: X-bar, EWMA, CUSUM stats and plots (moved from sonergia) - save_model/load_model accept str paths Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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