From jeremylongshore-claude-code-plugins-plus-skills
Generates confusion matrices for evaluating ML classification models in training workflows. Useful for Python-based projects with sklearn, PyTorch, or TensorFlow needing performance visualization.
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 confusion matrix generator tasks within the ML Training domain.
Manages ROC curve plotting operations for ML model evaluation. Generates Python code and configurations using scikit-learn, PyTorch, or TensorFlow for binary classifiers.
Automates training ML models (classification, regression) on datasets: analyzes data, selects/configures algorithms, cross-validates, evaluates metrics, saves artifacts. Use for model training tasks.
Builds and trains ML models using scikit-learn, PyTorch, TensorFlow for classification, regression, clustering. Covers data prep, evaluation, Python code examples.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for confusion matrix generator tasks within the ML Training domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with confusion matrix generator" 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