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Explorer/MCP/jefferythewind/warpgbm-mcp

WarpGBM

REMOTE
jefferythewind/warpgbm-mcp

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.

Tools
6
Indexed
174d ago
Deployment
remote
Endpoint
https://warpgbm-mcp--jefferythewind.run.tools
Tools (6)
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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