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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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Visualization¶

Examples showcasing shapiq’s visualization capabilities: force plots, beeswarm plots, SI graph plots, UpSet plots, and more.

Computing Shapley Values.

Computing Shapley Values.

UpSet Plot

UpSet Plot

SI Graph Plot

SI Graph Plot

Visualization Catalog

Visualization Catalog

Working with InteractionValues

Working with InteractionValues

Beeswarm Plot

Beeswarm Plot

Scatter Plot

Scatter Plot
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Computing Shapley Values.
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Explaining a Vision Transformer
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