dspy-mlflow

Name: dspy-mlflow
Rating: 5 (6 reviews)
Author: lebsral

Use MLflow for DSPy tracing, experiment tracking, and model registry. Use when you want to set up MLflow, mlflow.dspy.autolog, MLflow Tracing, MLflow experiment tracking, MLflow model registry, or full ML lifecycle management. Also used for mlflow setup, pip install mlflow, mlflow.set_experiment, mlflow UI, mlflow model versioning, mlflow OpenTelemetry, mlflow vs wandb, mlflow tracing DSPy, regist

6stars

Updated 13 days ago

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How to add

/plugin marketplace add lebsral/DSPy-Programming-not-prompting-LMs-skills

The exact command may vary by repository. Check the README on GitHub.

For the skill author

Drop this on your repo README

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MLflow — Full ML Lifecycle for DSPy

Guide the user through using MLflow for DSPy auto-tracing, experiment tracking, model registry, and production deployment.

What is MLflow

MLflow is an open-source platform for the complete ML lifecycle. Its DSPy integration provides:

Auto-tracing: mlflow.dspy.autolog() traces all DSPy calls via OpenTelemetry
Experiment tracking: log parameters, metrics, and artifacts for optimization runs
Model registry: version and stage optimized

[Description truncada. Veja o README completo no GitHub.]

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