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
  • Overview: module code

All modules for which code is available

  • lir
    • lir.aggregation
    • lir.algorithms.bayeserror
    • lir.algorithms.bootstraps
    • lir.algorithms.devpav
    • lir.algorithms.invariance_bounds
    • lir.algorithms.isotonic_regression
    • lir.algorithms.kde
    • lir.algorithms.llr_overestimation
    • lir.algorithms.logistic_regression
    • lir.algorithms.mcmc
    • lir.algorithms.percentile_rank
    • lir.bounding
    • lir.config.aggregation
    • lir.config.base
    • lir.config.data
    • lir.config.experiment_strategies
    • lir.config.lrsystem_architectures
    • lir.config.metrics
    • lir.config.substitution
    • lir.config.transform
    • lir.config.util
    • lir.data.io
    • lir.data.models
    • lir.data_strategies
    • lir.datasets.alcohol_breath_analyser
    • lir.datasets.feature_data_csv
    • lir.datasets.glass
    • lir.datasets.synthesized_normal_binary
    • lir.datasets.synthesized_normal_multiclass
    • lir.experiments.base_experiment
    • lir.experiments.optuna_experiment
    • lir.experiments.predefined_experiment
    • lir.lrsystems.binary_lrsystem
    • lir.lrsystems.lrsystems
    • lir.lrsystems.score_based
    • lir.lrsystems.two_level
    • lir.main
    • lir.metrics
      • lir.metrics.overestimation
    • lir.persistence
    • lir.plotting
      • lir.plotting.expected_calibration_error
    • lir.registry
    • lir.transform
      • lir.transform.composite
      • lir.transform.data_validator
      • lir.transform.distance
      • lir.transform.pairing
      • lir.transform.pipeline
      • lir.transform.save_features
    • lir.util

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