jgrusewski
5fb84a02f0
feat: training pipeline for all 10 ML ensemble models
...
- Add standalone training binaries: TGGN, KAN, xLSTM, Diffusion (DBN data)
- Update Dockerfile.training: 6 → 16 binaries (all 10 models + hyperopt + baseline)
- Expand train.sh: 4 → 10 models, fix registry URL and GPU pool nodeSelector
- Add GPU overlay manifests for trading-service and ml-training-service
- Create training data PVC and upload pod manifests
- Expand web-gateway model validation: 4 → 10 types (training + tune routes)
- Extend dashboard: 10 model cards grouped by category (RL/Temporal/Graph/Generative)
- Add training image build job to Gitea CI workflow
- Update GPU taint controller to exclude inference pool from tainting
- Fix job-template nodeSelector: gpu → gpu-training
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-02-24 20:47:50 +01:00
jgrusewski
4f85d0d475
infra: add training orchestrator and smoke test scripts
...
- train.sh: submit GPU training K8s Jobs with presets
(quick-test, single-model, full-ensemble, hyperopt)
- smoke-test.sh: end-to-end verification of cluster,
networking, databases, services, and node pools
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-02-24 14:27:50 +01:00
