Adds a parent/child GitLab CI pipeline for ML model training:
- Generator script produces per-model hyperopt/train/evaluate jobs
- Parent pipeline (.gitlab-ci-training.yml) with manual trigger
- NFS-backed ReadWriteMany PVC for shared training outputs
- Hyperopt params wired into training binaries (DQN, PPO, TFT, Mamba2)
- Shared DBN loader eliminates duplicate code across hyperopt adapters
- Supervised hyperopt unified to DBN data (was parquet-only)
Pipeline: hyperopt (4 models) → train (10 models) → evaluate ensemble
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add --cache=true --cache-repo to all 12 Kaniko builds
- Cache Docker layers in Scaleway CR (rg.fr-par.scw.cloud/foxhunt-ci/cache)
- Add Docker Hub auth to devcontainer + infra-runner prepare jobs
- First build populates cache; subsequent builds skip base image pulls
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
