GPClarity User Guide

• Getting Started
  • Setting Up a GP Model
  • Checking Model Health
  • Interpreting the Kernel
  • Analyzing Uncertainty
  • Tracking Optimization
  • Measuring Complexity
  • Analyzing Data Influence
  • Next Steps
• Kernel Interpretation
  • Basic Summary
  • Kernel Tree
  • Component Interpretation
  • Parameter Extraction
  • Custom Thresholds
• Uncertainty Profiler
  • Initialization
  • Prediction with Intervals
  • Diagnostics
  • Region Classification
  • Uncertainty Calibration
  • Visualization
  • Full Summary
• gpclarity.DataInfluenceMap
  • Constructor
  • Methods
• gpclarity.HyperparameterTracker
  • Constructor
  • Properties
  • Methods
• Examples Gallery
  • Composite Kernel Inspection
  • Uncertainty Region Classification
  • Uncertainty Calibration
  • Comparing Multiple Models
  • Optimization Issue Detection
  • Exporting Tracker History
  • Parallel Leave-One-Out Analysis
• gpclarity Package
  • Availability Check
  • Version