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MinxiongHydroCast v0.1.2

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@KageRyo KageRyo released this 17 Aug 01:19
· 6 commits to main since this release
v0.1.2
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Learn about vigilant mode.

MinxiongHydroCast v0.1.2 — Deterministic Optical-flow Baseline

Release date: 2026-08-17
Release tag: v0.1.2
GitHub Release name: MinxiongHydroCast v0.1.2

Highlights

  • Adds a deterministic CPU OpticalFlowNowcaster based on FFT phase correlation and global
    integer translation.
  • Adds event-level and lead-time comparisons with Persistence using RMSE, MAE, CSI, POD, and FAR.
  • Adds a public-safe aggregate report for Persistence, Optical Flow, and Tiny U-Net that excludes
    private archive and checkpoint paths.
  • Adds optical-flow evaluation artifacts to the external research dataset build without changing
    the forecast promotion gate.

Verified release evidence

  • pytest -q: 316 passed.
  • Ruff, Python compilation, wheel/sdist construction, and installed-wheel CLI smoke tests pass.
  • The formal five-event independent aggregate is reproducible.
  • Optical Flow remains a research benchmark: independent RMSE is 13.657048 versus Persistence
    9.258762, and CSI is 0.135459 versus 0.152099.

Research and safety boundary

This release does not claim forecast readiness or improve the publication gate. The formal dataset
still needs broader human-reviewed weather-regime diversity, and all official raw data, private
event evidence, trained weights, and credentials remain outside the repository.

Future GitHub Releases should use the exact display-name format MinxiongHydroCast vX.Y.Z; the
release workflow validates that the display name matches its tag.

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