get_important_features
Identify key predictive factors for Japanese horse racing analysis. This tool extracts important features from JRA-VAN data to inform betting strategies and performance evaluation.
Instructions
競馬予測で重要な特徴量の知見を提供
Returns:
重要特徴量のリスト、説明、での活用方法Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Implementation Reference
- src/jvlink_mcp_server/server.py:270-282 (handler)Tool implementation for get_important_features which provides feature importance data from a loaded JSON source.
@mcp.tool() def get_important_features() -> dict: """競馬予測で重要な特徴量の知見を提供 Returns: 重要特徴量のリスト、説明、での活用方法 """ return { "features": FEATURE_IMPORTANCE_DATA["important_features"], "feature_combinations": FEATURE_IMPORTANCE_DATA["feature_combinations"], "total_features": len(FEATURE_IMPORTANCE_DATA["important_features"]), "references": FEATURE_IMPORTANCE_DATA["references"] }