From jeremylongshore-claude-code-plugins-plus-skills
Manages ROC curve plotting operations for ML model evaluation. Generates Python code and configurations using scikit-learn, PyTorch, or TensorFlow for binary classifiers.
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 roc curve plotter tasks within the ML Training domain.
Generates confusion matrices for evaluating ML classification models in training workflows. Useful for Python-based projects with sklearn, PyTorch, or TensorFlow needing performance visualization.
Guides scikit-learn for classification, regression, clustering, preprocessing, pipelines, model evaluation, and hyperparameter tuning in Python ML workflows.
Guides machine learning in Python with scikit-learn for classification, regression, clustering, preprocessing, model evaluation, and pipelines.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for roc curve plotter tasks within the ML Training domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with roc curve plotter" 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