2 Commits

Author	SHA1	Message	Date
jgrusewski	e72e4db235	refactor: delete 22 dead examples, 4 CSVs, consolidate data to test_data/ ... - Delete 22 dead/placeholder/broken example files (-3,489 lines code) - Delete 4 tracked CSV files (-1.1M lines, were accidentally committed) - Move baseline training data default from data/cache/ to test_data/ - Update 5 unified binary defaults, gitignore, k8s upload comment, docs - Consolidate all training data under test_data/futures-baseline/ Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-26 01:24:02 +01:00
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