giant

lars/giant

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T

lars 646a9d7a72 Add giant predict command

- iter_cond_chunks: column-projected row-group streaming; post-step
  variables are never read from disk during inference
- build_cond_features: assembles conditioning arrays without any target
  or post-step fields
- inv_local_frame_rotation: Rodrigues R^T (negative angle) to rotate
  predicted post_dir back from local frame to world frame
- giant predict: loads checkpoint, streams input, runs flow matching
  sampler, inverse-normalises and inverse-rotates outputs, writes
  predictions incrementally as parquet via PyArrow ParquetWriter
- train now saves model_config in checkpoint so predict can reconstruct
  the architecture without extra CLI flags

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-06-17 11:10:27 +02:00

data

Add giant predict command

2026-06-17 11:10:27 +02:00

model

Implement Phase 1: full data pipeline, model, training, and config support

2026-06-17 10:48:03 +02:00

__init__.py

Initial commit: giant surrogate model with two-phase roadmap in README

2026-06-17 09:29:19 +02:00

cli.py

Add giant predict command