detect-metrics

List all metric functions available in the yardstick R package.

401|61|Updated Oct 30, 2017
One-click install
npx skills add https://github.com/tidymodels/yardstick --skill detect-metrics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: detect-metrics
Source: https://github.com/tidymodels/yardstick/tree/main/.claude/skills/detect-metrics
Command: npx skills add https://github.com/tidymodels/yardstick --skill detect-metrics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users identify and understand the available performance metrics within the yardstick R package, making it easier to choose the right metric for model evaluation.

Core Features & Use Cases

  • Metric Discovery: Lists all available metric functions.
  • Metric Structure Understanding: Explains the typical components of a yardstick metric.
  • Key File Identification: Points to important files for deeper inspection.
  • Use Case: A data scientist is evaluating a new classification model and needs to know what metrics are available in yardstick to assess its performance. They use this Skill to get a comprehensive list.

Quick Start

Use the detect-metrics skill to find all metric functions in the yardstick package.

Frequently Asked Questions about detect-metrics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find all available metrics in the yardstick R package?

The detect-metrics skill lists all available metric functions, constructors, and exported definitions within the yardstick package, helping you identify and choose the right metric for model evaluation.

What is the structure of a yardstick metric function?

A yardstick metric function typically consists of specific components and definitions that define its calculation logic. The skill explains this metric structure and points to key files for deeper inspection of how these definitions are constructed.

Can I use this to discover metrics for classification model evaluation?

Yes, you can use this skill to discover metrics specifically for classification model evaluation. It lists all exported metric functions in the yardstick package, allowing data scientists to find suitable performance assessment metrics.

Does the detect-metrics skill require any external dependencies?

No, the detect-metrics skill operates with basic implementation depth and requires no external dependencies. It directly references the yardstick package's internal structure to list available model evaluation metrics.

Where can I find the key files for yardstick metric definitions?

The skill identifies and points to the important key files within the yardstick package for deeper inspection. This allows you to locate the exact source definitions and structural components of any metric function.