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climate-risk-engine / scripts

Commit History

  1. Cut dead neural/LSTM pricing + predictor paths⁠

    jtlevine +1: Claude Opus 4.7 (1M context)
    64c4f2a

  1. Replace neural actuarial model with GraphCast triggers + empirical burn analysis⁠

    jtlevine +1: Claude Opus 4.6 (1M context)
    277cbcf

  1. Scale worker pilot from 30 → 2000 enrollees with searchable directory⁠

    jtlevine +1: Claude Opus 4.6 (1M context)
    0f04f90

  2. Coverage polish + DPI-style worker pilot with Disbursements drill-down⁠

    jtlevine +1: Claude Opus 4.6 (1M context)
    1b15bc9

  1. Make fork-and-adapt flow truly region-agnostic⁠

    jtlevine +1: Claude Opus 4.6 (1M context)
    8c109d1

  1. Chronos-Bolt encoder, retrained pricer, 14-day pipeline, sync DB⁠

    jtlevine +1: Claude Opus 4.6 (1M context)
    c129948

  1. Fix issues from /simplify whole-project review⁠

    jtlevine +1: Claude Opus 4.6 (1M context)
    6dcc108

  2. Expand Dar es Salaam to 15 zones, retrain neural pricer on ERA5-Land⁠

    jtlevine +1: Claude Opus 4.6 (1M context)
    11c3a62

  3. Retrain neural actuarial model on ERA5-Land 9km data (20 years)⁠

    jtlevine +1: Claude Opus 4.6 (1M context)
    6885ce7

  4. Redesign Program Designer as Coverage Recommendation page⁠

    jtlevine +1: Claude Opus 4.6 (1M context)
    d73c30b

  5. Add neural actuarial pricing engine trained on real Dar es Salaam data⁠

    jtlevine +1: Claude Opus 4.6 (1M context)
    793e5b9

  1. Retrain models on real NASA POWER data, wire pipeline to Neon, enable Claude⁠

    jtlevine +1: Claude Opus 4.6 (1M context)
    60e17fa

  2. Frontend upgrade: heat-red identity, danger banner, callout cards, richer detail⁠

    jtlevine +1: Claude Opus 4.6 (1M context)
    8bec5a5

  3. Add LSTM neural model, ERA5 data, FAISS+BM25 RAG, Neon DB, eval suite; de-jargon frontend⁠

    jtlevine +1: Claude Opus 4.6 (1M context)
    f2b0895