User Guide

Welcome to the ViRelAy User Guide. This comprehensive resource provides in-depth information on using ViRelAy to analyze classifiers and datasets. The following sections offer detailed guides to help you unlock the full potential of ViRelAy:

• Features: A comprehensive guide to ViRelAy’s features and functionality.

• Using ViRelAy With Gunicorn: Instructions on how to run ViRelAy using the WSGI HTTP server Gunicorn.

• How to Create a Real-World Project: A step-by-step guide to creating projects for custom classifiers and datasets.

• Analyzing Machine Learning Classifiers and Datasets: A detailed walkthrough of the process for finding anomalous classification behavior and outlier dataset samples.

Get started with these guides to master ViRelAy’s capabilities and take your data analysis to the next level!

• Features
  • Projects
  • Analyses
  • Clusterings & Embeddings
  • Navigating Embeddings
  • Inputs, Attributions & Heatmaps
  • Exporting, Importing & Sharing Results
• Using ViRelAy With Gunicorn
• How to Create a Real-World Project
  • Prerequisites & Dependencies
  • Accessing the ViRelAy Project Scripts
  • Training the VGG16 Classifier
  • Project Requirements
  • Creating an Attributions Database
  • Converting the Dataset
  • Performing the Meta-Analysis
  • Creating the Project File
• Analyzing Machine Learning Classifiers and Datasets
  • Project Overview
  • Examining the Embeddings
  • Examining Clusterings & Classification Strategies
  • Investigating Anomalous Classification Strategies
  • Best Practices for Saving & Sharing Findings