Files
foxhunt/test_data/tuning_config.yaml
jgrusewski 2da5bafc0e refactor: rename tli→fxt, delete legacy scripts/RunPod/deploy artifacts
- 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>
2026-02-24 10:32:21 +01:00

46 lines
810 B
YAML

# Minimal tuning configuration for testing
# Generated by test_fxt_tuning.sh
tuning:
# Optuna study configuration
study_name: "test_study"
storage: "sqlite:///optuna_test.db"
direction: "maximize" # Maximize Sharpe ratio
# Search space for DQN
search_space:
learning_rate:
type: "float"
low: 0.0001
high: 0.01
log: true
batch_size:
type: "int"
low: 32
high: 128
step: 32
gamma:
type: "float"
low: 0.90
high: 0.99
epsilon_decay:
type: "float"
low: 0.990
high: 0.999
# Training configuration
training:
epochs: 10
validation_split: 0.2
early_stopping_patience: 3
# Evaluation metrics
metrics:
- "sharpe_ratio"
- "total_return"
- "max_drawdown"
- "win_rate"