From jeremylongshore-claude-code-plugins-plus-skills
Guides train-test splitting in ML training workflows using scikit-learn, PyTorch, TensorFlow. Generates code, configurations, and best practices for data preparation.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin langchain-py-packThis skill is limited to using the following tools:
This skill provides automated assistance for train test splitter tasks within the ML Training domain.
Splits datasets like CSV into training, validation, and test sets with ratios and stratification using Python for ML workflows. Activates on split dataset requests.
Configures cross-validation setups for ML training including data preparation, model training, hyperparameter tuning, and experiment tracking. Generates Python code and configs for scikit-learn, PyTorch, TensorFlow.
Trains ML models using scikit-learn, PyTorch, TensorFlow for classification, regression, neural networks. Covers data prep, training loops, evaluation, hyperparameter tuning, overfitting fixes.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for train test splitter tasks within the ML Training domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with train test splitter" Result: Provides step-by-step guidance and generates appropriate configurations
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn