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mllm-shap 0.6.0
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mllm-shap 0.6.0

Guides

  • Getting started
  • How a run works
  • Command line
  • Configuration
  • Using estimand aggregators
  • Using the exact estimator
  • Using approximate estimators
  • Choosing an estimator
  • Using value functions
  • Masking views
  • Generative backends
  • Audio input
  • Runtime core
  • Visualization
  • Audio alignment
  • Extending mllm-shap
  • Business and compliance applications
  • Coming from legacy MLLM-Shap

Theory

  • Cooperative games
  • Shapley values and axioms
  • Estimands: Shapley vs Banzhaf
  • Exact estimation
  • Approximate estimation
  • Value functions and normalizers
  • Masking
  • Runtime core

Reference

  • API reference
    • Domain types
    • Protocols
    • Plugins
    • Pipeline
    • Command line
    • Errors
    • Masking
    • Runtime
    • Estimation
    • Value functions
    • Backends
    • Visualization
    • Alignment
  • Examples
    • Explain a conversation with ExplainRunner
    • Run archives and reanalyze
    • Command line: mllm-shap
    • Plugins: registry, context and options
    • Shapley vs Banzhaf on toy cooperative games
    • Coalition masking and absence policies
    • Runtime archive, deduplication, and async scheduling
    • Exact estimation with estimand plugins
    • Estimator comparison: budget, variance, and accuracy
    • Attribution visualization
    • End-to-end text explainability on real backends
    • Audio alignment with SGPA
    • Audio runs on the mock backend
    • Explaining a spoken sentence with an audio language model
  • Release notes
  • Citing mllm-shap
  • Contributing to mllm-shap
  • Handbook
    • Debugging a wrong attribution
    • How a run works
    • Onboarding
    • Python SHAP visualization reference
    • alignment
    • backends
    • Package root
    • domain
    • estimation
    • masking
    • pipeline
    • plugins
    • protocols
    • runtime
    • value
    • viz
    • Base generation
    • Capability protocol
    • Manifest
    • Message
    • Player span
    • Plugin options
    • Prefix hash
    • Reanalyze
    • Run archive
    • Run id
    • SGPA
    • Snapshot
    • Solution note
    • Alignment decisions
    • Backends decisions
    • Domain decisions
    • Estimation decisions
    • Masking decisions
    • Pipeline decisions
    • Runtime decisions
    • Value decisions
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