- Rename tli/ directory to fxt/, update package + binary name to "fxt" - Replace all `use tli::` → `use fxt::` across 52 Rust files - Update build.rs proto paths (tli/proto → fxt/proto) in 6 services - Update Dockerfiles, CI workflows, deploy.sh for new paths - Delete ~170 legacy shell scripts (kept 15 essential ones) - Delete RunPod Python client (runpod/), tests (tests/runpod/) - Delete foxhunt-deploy crate (RunPod-only deployment tool) - Delete terraform/runpod/ (moved to Scaleway) - Delete ML Python hyperopt scripts (replaced by Rust Argmin PSO) - Delete .gitlab-ci.yml (using GitHub + Gitea) - Remove foxhunt-deploy from workspace members 504 files changed, -74,355 lines of legacy code removed. Workspace compiles clean (0 errors, 0 warnings). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
46 lines
810 B
YAML
46 lines
810 B
YAML
# Minimal tuning configuration for testing
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# Generated by test_fxt_tuning.sh
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tuning:
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# Optuna study configuration
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study_name: "test_study"
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storage: "sqlite:///optuna_test.db"
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direction: "maximize" # Maximize Sharpe ratio
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# Search space for DQN
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search_space:
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learning_rate:
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type: "float"
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low: 0.0001
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high: 0.01
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log: true
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batch_size:
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type: "int"
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low: 32
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high: 128
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step: 32
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gamma:
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type: "float"
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low: 0.90
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high: 0.99
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epsilon_decay:
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type: "float"
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low: 0.990
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high: 0.999
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# Training configuration
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training:
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epochs: 10
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validation_split: 0.2
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early_stopping_patience: 3
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# Evaluation metrics
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metrics:
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- "sharpe_ratio"
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- "total_return"
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- "max_drawdown"
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- "win_rate"
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