WarpGBM

Train gradient boosting models quickly and export portable artifacts for smooth deployment. Run fast predictions from newly trained models or existing artifacts. Upload datasets, browse available backends, and access a practical guide with best practices and troubleshooting.

该来源不提供完整文件导出（国内平台多为平台内托管），仅存元数据与原链

模型生成摘要（rules/v1 · 2026-09-27 16:50）：Train gradient boosting models quickly and export portable artifacts for smooth deployment
这是模型对公开材料的总结，不是官方声明，请以原链内容为准。

接入信息

传输形态: http
鉴权方式: 鉴权未知
端点: https://warpgbm-mcp--jefferythewind.run.tools

鉴权方式未标注，请核对官方文档后再接入——不要直接使用以下片段

{
  "mcpServers": {
    "WarpGBM": {
      "url": "https://warpgbm-mcp--jefferythewind.run.tools"
    }
  }
}

能力清单

工具	说明
list_models	List all available ML model backends (warpgbm, lightgbm)
train	Train a gradient boosting model and return portable artifacts (joblib and/or ONNX)
predict_from_artifact	Run inference using a trained model artifact or artifact_id. Use artifact_id for fast predictions right after training (valid for 5 minutes).
get_agent_guide	Get the comprehensive agent guide with examples, best practices, and troubleshooting tips for using this service
upload_data	Upload CSV or Parquet files for training. Parses files and returns structured X and y arrays ready for training.
submit_feedback	Submit feedback about the service. Agents can report bugs, request features, or provide general feedback.

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