AI Verify User Guide
Quick Start Guide
  • Introduction
    • How It Works
    • Extensibility
    • Quick Start Guide
      • Build and run from Dockerfile
      • Build and run from source code
    • Accessing AI Model
      • Introduction
      • How to Prepare Tabular Datasets and Models
      • How to Prepare Image Datasets and Models
      • Intro
      • 1. Create New Project
      • 2. Select a Report Template
      • 3. Design The Report
      • 4. Select Testing Dataset
      • 5. Select Ground Truth Dataset
      • 6. Select AI Model
      • 7. Provide Test Arguments
      • 8. Complete Process Checklist
      • 9. Select Fairness Metrics using Fairness Tree
      • 10. Run Test and Generate Report
      • Intro
      • 1. Create New Project
      • 2. Start Empty Canvas
      • 3. Design Report with Widgets
      • 4. Using Global Variables
      • 5. Adding New Pages
      • 6. Using Widgets with Dependencies
      • 7. Save as Report Template
      • 8. Export as Plugin
    • How to Understand the Fairness Decision Tree
    • How to Connect to AI Model API
    • Homepage
    • Canvas Page
    • Input Blocks Page
    • Report Generating Page
    • Asset Manager Page
    • Plugin Manager Page
    • Report Template Manager Page
  • Troubleshooting
  • FAQs
  • Compatibility Table
    • AI Verify Plugins
    • Developer Documentation

Quick Start Guide

Info

Users are recommended to follow the Docker Setup installation.

Download AI Verify release file here.

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Extensibility
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Build and run from Dockerfile
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