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early-stopping-callback

4.0

by jeremylongshore

115Favorites
82Upvotes
0Downvotes

Early Stopping Callback - Auto-activating skill for ML Training. Triggers on: early stopping callback, early stopping callback Part of the ML Training skill category.

early-stopping

4.0

Rating

0

Installs

Machine Learning

Category

Quick Review

The skill has clear structure and addresses a useful ML training concept (early stopping), but severely lacks specificity and actionable content. The description is too generic—it doesn't explain what early stopping is, which frameworks are supported, or what specific implementations it provides. Task knowledge is minimal with no actual steps, code examples, or referenced implementation files. A CLI agent would struggle to invoke this meaningfully beyond generic responses. To improve: add concrete implementation details (e.g., PyTorch/TensorFlow/Keras callback classes), specify parameters (patience, delta, restore_best_weights), provide code templates, and clarify what 'production-ready' outputs look like.

LLM Signals

Description coverage2
Task knowledge1
Structure5
Novelty4

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

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jeremylongshore

Skill Author

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