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shapiq 1.5.1.dev1+g756a2e646 documentation
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INTRODUCTION

  • What Are Shapley Interactions, and Why Should You Care?
  • Installation
  • Getting Started
  • Why Use shapiq?

EXAMPLES & TUTORIALS

  • Examples & Tutorials
  • Approximators
  • Basics
  • Game Theoretic Concepts
  • Language Models
  • Nearest Neighbor Models
  • Tabular Models
  • Tree Models
  • Vision Models
  • Visualization
    • Approximators
      • SVARM
      • KernelSHAP
      • OwenSamplingSV
      • UnbiasedKernelSHAP
      • StratifiedSamplingSV
      • PermutationSamplingSV
      • kADDSHAP
      • ProxySPEX
      • KernelSHAPIQ
      • RegressionFBII
      • RegressionFSII
      • PermutationSamplingSII
      • SHAPIQ Approximator
      • PermutationSamplingSTII
      • SVARMIQ
      • InconsistentKernelSHAPIQ
      • ProxySHAP
      • SPEX
      • RegressionMSR
      • ExactComputer
    • Basics
      • Parallel Computation with joblib
      • Defining Custom Games
      • Computing Shapley Values
    • Game Theoretic Concepts
      • The Core: A Different View on Explanation
    • Language Models
      • Explaining Sentiment Analysis
    • Nearest Neighbor Models
      • Data Valuation with Nearest Neighbor Explainers
    • Tabular Models
      • Conditional Data Imputation
      • SHAP-IQ with scikit-learn
      • Explaining TabPFN
    • Tree Models
      • TreeSHAP-IQ for Custom Tree Models
      • TreeSHAP-IQ for LightGBM
    • Vision Models
      • Explaining a Vision Transformer
    • Visualization
      • Computing Shapley Values.
      • UpSet Plot
      • SI Graph Plot
      • Visualization Catalog
      • Working with InteractionValues
      • Beeswarm Plot
      • Scatter Plot

API REFERENCE

  • API Reference
    • shapiq.interaction_values
      • shapiq.interaction_values.InteractionValues
      • shapiq.interaction_values.aggregate_interaction_values
    • shapiq.game
      • shapiq.game.Game
    • shapiq.explainer
      • shapiq.explainer.Explainer
      • shapiq.explainer.TabularExplainer
      • shapiq.explainer.TabPFNExplainer
      • shapiq.explainer.AgnosticExplainer
      • shapiq.explainer.TreeExplainer
    • shapiq.approximator
      • shapiq.approximator.Approximator
      • shapiq.approximator.PermutationSamplingSII
      • shapiq.approximator.PermutationSamplingSTII
      • shapiq.approximator.PermutationSamplingSV
      • shapiq.approximator.StratifiedSamplingSV
      • shapiq.approximator.OwenSamplingSV
      • shapiq.approximator.KernelSHAP
      • shapiq.approximator.RegressionFSII
      • shapiq.approximator.RegressionFBII
      • shapiq.approximator.KernelSHAPIQ
      • shapiq.approximator.InconsistentKernelSHAPIQ
      • shapiq.approximator.ProxySPEX
      • shapiq.approximator.ProxySHAP
      • shapiq.approximator.RegressionMSR
      • shapiq.approximator.SHAPIQ
      • shapiq.approximator.SVARM
      • shapiq.approximator.SVARMIQ
      • shapiq.approximator.kADDSHAP
      • shapiq.approximator.SPEX
      • shapiq.approximator.UnbiasedKernelSHAP
    • shapiq.imputer
      • shapiq.imputer.Imputer
      • shapiq.imputer.MarginalImputer
      • shapiq.imputer.GenerativeConditionalImputer
      • shapiq.imputer.BaselineImputer
      • shapiq.imputer.TabPFNImputer
      • shapiq.imputer.GaussianImputer
      • shapiq.imputer.GaussianCopulaImputer
    • shapiq.game_theory
      • shapiq.game_theory.ExactComputer
      • shapiq.game_theory.MoebiusConverter
      • shapiq.game_theory.aggregate_base_interaction
      • shapiq.game_theory.get_bernoulli_weights
      • shapiq.game_theory.index_generalizes_sv
      • shapiq.game_theory.index_generalizes_bv
      • shapiq.game_theory.get_computation_index
      • shapiq.game_theory.is_index_aggregated
      • shapiq.game_theory.is_empty_value_the_baseline
      • shapiq.game_theory.egalitarian_least_core
    • shapiq.plot
      • shapiq.plot.network_plot
      • shapiq.plot.stacked_bar_plot
      • shapiq.plot.si_graph_plot
      • shapiq.plot.force_plot
      • shapiq.plot.bar_plot
      • shapiq.plot.waterfall_plot
      • shapiq.plot.sentence_plot
      • shapiq.plot.upset_plot
      • shapiq.plot.beeswarm_plot
      • shapiq.plot.scatter_plot
      • shapiq.plot.abbreviate_feature_names
    • shapiq.datasets
      • shapiq.datasets.load_bike_sharing
      • shapiq.datasets.load_adult_census
      • shapiq.datasets.load_california_housing
    • shapiq.utils
      • shapiq.utils.powerset
      • shapiq.utils.pair_subset_sizes
      • shapiq.utils.split_subsets_budget
      • shapiq.utils.get_explicit_subsets
      • shapiq.utils.generate_interaction_lookup
      • shapiq.utils.generate_interaction_lookup_from_coalitions
      • shapiq.utils.transform_coalitions_to_array
      • shapiq.utils.transform_array_to_coalitions
      • shapiq.utils.count_interactions
      • shapiq.utils.safe_isinstance
      • shapiq.utils.check_import_module
      • shapiq.utils.shuffle_data
      • shapiq.utils.raise_deprecation_warning
    • shapiq.tree
      • shapiq.tree.TreeSHAPIQ
      • shapiq.tree.TreeModel
      • shapiq.tree.InterventionalTreeExplainer
      • shapiq.tree.InterventionalGame
      • shapiq.tree.LinearTreeSHAP

BIBLIOGRAPHY

  • 💻 Related Software:
  • 📚 Bibliography
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Tree Models¶

Examples demonstrating TreeSHAP-IQ for explaining tree-based models, including LightGBM and custom tree structures.

TreeSHAP-IQ for Custom Tree Models

TreeSHAP-IQ for Custom Tree Models

TreeSHAP-IQ for LightGBM

TreeSHAP-IQ for LightGBM
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TreeSHAP-IQ for Custom Tree Models
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Explaining TabPFN
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