fumen-measure-analyze/.gemini/notes.md

Project: fumen-analyze

Technical Stack

• Runtime: Bun
• Language: TypeScript (Preprocessing), Python (Machine Learning)
• ML Library: XGBoost, scikit-learn
• TJA Parser: tja-parser

Key Directories

• preprocess/: TJA 파싱 및 피처 추출 로직 (TypeScript)
• script/: 전처리, 학습 제어 스크립트
• train/: XGBoost 학습 엔진 (Python)
• predict/: 추론 엔진 (Python)
• datas/tja/: 원본 TJA 데이터셋
• datas/measure.csv: 정답지 (상수 데이터)
• test/: 학습 결과물 (model.pkl, scaler.pkl, features.json)

Data Flow

1. datas/tja/*.tja → script/preprocess.ts → test/features.json
2. test/features.json + datas/measure.csv → train/train_xgboost.py → test/model.pkl
3. test/model.pkl + test/features.json → predict/predict_xgboost.py → Result