feat(nisps-core,vcv): complete Phases 6 + 7 — persistence, derived outputs
Phase 6 — State persistence:
- Full state serialization: version, weights (3D), examples (features+labels),
mlpConfig, noiseLevel, slewMs, output/input ranges
- Validation on load: version check, graceful missing field handling
- .nisps preset save/load via right-click menu (osdialog file dialogs)
- Param values included in preset files
Phase 7 — Derived outputs:
- Mean, STD, delta computed on audio thread (trivial cost)
- Novelty/confidence: nearest_example_distance() computed on background
thread after each training/perturbation job, cached for audio thread
- Defaults with 0 examples: novelty=10V, confidence=0V
nisps-core IML additions:
- get_weights() / set_weights() for MLP weight serialization
- get_example_features/labels() / load_examples() for dataset serialization
- nearest_example_distance() for novelty/confidence metric
- get_example_count() / get_max_examples() for UI display
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