Arize Experiment
Creates, runs, and analyzes Arize experiments for evaluating and comparing model...
Install
npx skills add github/awesome-copilot --skill arize-experiment -g -a claude-code -y- Repository
- github/awesome-copilot40.7k
- Category
- Testing
- Updated
- 6d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows using the ax CLI. Use when the user mentions create experiment, run experiment, compare models, model performance, evaluate AI, experiment results, benchmark, A/B test models, or measure accuracy.
Arize Experiment Skill
SPACE, All--spaceflags and theARIZE_SPACEenv var accept a space name (e.g.,my-workspace) or a base64 space ID (e.g.,U3BhY2U6...). Find yours withax spaces list.
Concepts
- Experiment = a named evaluation run against a specific dataset version, containing one run per example
- Experiment Run = the result of processing one dataset example -- includes the model output, optional evaluations, and optional metadata
- Dataset = a versioned collection of examples; every experiment is tied to a dataset and a specific dataset version
- Evaluation = a named metric attached to a run (e.g.,
correctness,relevance), with optional label, score, and explanation
The typical flow: export a dataset → process each example → collect outputs and evaluations → create an experiment with the runs.
Prerequisites
Proceed directly with the task, run the ax command you need. Do NOT check versions, env vars, or profiles upfront.
