dspy-infer-rules

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

Use when you want to extract interpretable decision logic from labeled examples — generating explicit rules that explain patterns in your data. Common scenarios - extracting business rules from labeled classification examples, understanding why a model makes certain predictions, generating human-readable decision criteria from data, building interpretable classifiers, or documenting implicit label

6stars

Updated 13 days ago

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

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

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Extracting Decision Rules with dspy.InferRules

Guide the user through using dspy.InferRules to discover explicit, human-readable rules from labeled examples and inject them into program instructions.

What is dspy.InferRules

dspy.InferRules is a DSPy optimizer that analyzes your training examples and extracts natural-language rules describing the decision patterns it finds. These rules are then appended to the instructions of each predictor in your program. The result is a compiled pr

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

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