From jeremylongshore-claude-code-plugins-plus-skills
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.
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 cross validation setup tasks within the ML Training domain.
Guides train-test splitting in ML training workflows using scikit-learn, PyTorch, TensorFlow. Generates code, configurations, and best practices for data preparation.
Automates training ML models (classification, regression) on datasets: analyzes data, selects/configures algorithms, cross-validates, evaluates metrics, saves artifacts. Use for model training tasks.
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 cross validation setup tasks within the ML Training domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with cross validation setup" 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