LiR - Likelihood Ratio Toolkit
  • Getting started
  • Guides
    • LR System selection helper
      • Specific source system
      • Pre-scored common source system
      • Common source system
    • Overview of the Python API
      • Data classes
      • Data strategies
      • LR systems
    • Assessing LR system performance
      • Metrics
      • Visualizations
      • Appearance plots and metrics
    • Setting up an experiment
      • Experiment definition
      • Data organization
      • LR systems
      • Output
      • Hyperparameters and data parameters
  • Registry reference
    • Experiment components
      • Experiment strategies
      • Data strategies
      • Data providers
      • Metrics
      • Output
      • Hyperparameters
    • LR system components
      • LR system architecture
      • LR system modules
      • Pairing methods
  • API reference
    • lir package
      • is_interactive()
      • Subpackages
      • Submodules
  • Terminology
LiR - Likelihood Ratio Toolkit
  • Search

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