How-To Guides

These tutorials will guide you through how to get started with using the RIME Python Library, using the IEEE-CIS Fraud Detection dataset, which is available in the trial bundle.

For access to the Python library and the trial bundle, please be sure to complete Installation first!

• Data and Model Setup
• AI Stress Tests
  • Overview
  • Unseen Categorical
  • Duplicate Rows
  • Non-Parametric Outliers
  • Vulnerability
  • Feature Subset
• Adversarial Attacks
  • Overview
  • Running an Adversarial Attack
  • Improving Adversarial Robustness with Attack Results
  • Highlighted Extra Features
• Analyzing Subset Performance
  • Overview
  • Using RIME Library to Analyze Model Performance
  • Improving Model Performance Results: Overweighting
• Improving Model Performance
  • Overview
  • Preprocessing
  • Active Learning

For walkthroughs using NLP or CV modalities, please contact your Robust Intelligence support engineer!