| name | early-stopping-callback |
|---|---|
| description | Early Stopping Callback - Auto-activating skill for ML Training. Triggers on: early stopping callback, early stopping callback Part of the ML Training skill category. |
| allowed-tools | Read, Write, Edit, Bash(python:*), Bash(pip:*) |
| version | 1.0.0 |
| license | MIT |
| author | Jeremy Longshore <[email protected]> |
Early Stopping Callback
Purpose
This skill provides automated assistance for early stopping callback tasks within the ML Training domain.
When to Use
This skill activates automatically when you: - Mention "early stopping callback" in your request - Ask about early stopping callback patterns or best practices - Need help with machine learning training skills covering data preparation, model training, hyperparameter tuning, and experiment tracking.
Capabilities
- Provides step-by-step guidance for early stopping callback
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Example Triggers
- "Help me with early stopping callback"
- "Set up early stopping callback"
- "How do I implement early stopping callback?"
Related Skills
Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn