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Model Training¶

Planned Architecture (Future Phases)

ML model training on financial datasets is implemented in Phase 6 (Weeks 21–24).

Overview¶

Problem Formulation¶

Task Definition¶

Target Variable¶

Feature Set¶

Models¶

Baseline — XGBoost¶

Deep Learning — PyTorch¶

Training Pipeline¶

flowchart LR
    A[(PostgreSQL)] --> B[Feature Engineering]
    B --> C[Train / Val / Test Split]
    C --> D[Model Training]
    D --> E[Evaluation]
    E --> F[MLflow Registry]

Dataset¶

Evaluation Metrics¶

Metric	Description
Accuracy / F1	Classification quality
MAE / RMSE	Regression error
AUC-ROC	Ranking quality for sentiment

Reproducibility¶