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PyPhi 2.0 is out as a release candidate: what's new, and the migration guide for 1.x users.
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Documentation

  • Getting started
  • Tutorials
    • A complete worked example
    • Intrinsic units: analyzing systems at a macro grain
    • Recursive exclusion: how complexes divide a substrate
    • Actual causation
    • Causal reductionism and the frog
    • The IIT 4.0 demo notebook
  • How-to guides
    • Build a substrate
    • Read a result
    • Estimate the cost before you run
    • Configure PyPhi
    • Use PyPhi with an AI assistant
    • The PyPhi MCP server
    • Sweep states and subsystems
    • Save and load results
    • Export results
    • Visualize results
    • Run computations in parallel
    • Cache results
    • Run PyPhi on a cluster (CHTC)
    • Run a sweep as an HTCondor campaign
    • Search across grains
    • Query relational structure
    • Explore substrate parameter landscapes
    • Control tie-breaking
    • Reproduce results from earlier versions of IIT
    • FAQ and troubleshooting
  • Theory
    • What IIT computes
    • Substrate and system
    • Conditional independence
    • System integrated information
    • The intrinsic-information requirement
    • Distinctions and relations
    • The Φ-structure
    • Macro units and grains
    • Computational complexity
  • Reference
    • Glossary
    • Configuration options
    • Example networks
    • API reference
      • pyphi
      • pyphi.analyze
      • pyphi.Analysis
      • pyphi.sweep
      • pyphi.SweepResult
      • pyphi.optimize
      • pyphi.OptimizationResult
      • pyphi.substrate
      • pyphi.system
      • pyphi.substrate_generator
      • pyphi.examples
      • pyphi.estimate
      • pyphi.labels
      • pyphi.connectivity
      • pyphi.convert
      • pyphi.validate
      • pyphi.analysis
      • pyphi.sweeps
      • pyphi.cost
      • pyphi.conf
      • pyphi.formalism
      • pyphi.partition
      • pyphi.direction
      • pyphi.relations
      • pyphi.resolve_ties
      • pyphi.condensation
      • pyphi.compositional_state
      • pyphi.macro
      • pyphi.actual
      • pyphi.matching
      • pyphi.landscape
      • pyphi.optimization
      • pyphi.dynamics
      • pyphi.models
      • pyphi.display
      • pyphi.numerics
      • pyphi.measures
      • pyphi.serialize
      • pyphi.provenance
      • pyphi.graph
      • pyphi.visualize
      • pyphi.exceptions
      • pyphi.parallel
      • pyphi.cache
      • pyphi.campaign
      • pyphi.mcp
      • pyphi.log
      • pyphi.core
      • pyphi.distribution
      • pyphi.timescale
      • pyphi.automorphism
    • Transition probability matrix conventions
    • Citing PyPhi
    • Contributing
  • Migration
    • What’s new in PyPhi 2.0
    • Migrating to PyPhi 2.0
    • Migrating from substrate_modeler to current PyPhi

Cite PyPhi: Mayner et al. (2018), PLOS Comput Biol 14(7): e1006343.

Source on GitHub

  • Reference
  • API reference
  • pyphi.formalism
  • pyphi.formalism.iit4
  • pyphi.formalism.iit4.normalization_factor

pyphi.formalism.iit4.normalization_factor#

pyphi.formalism.iit4.normalization_factor(partition)[source]#
Parameters:

partition (DirectedBipartition | EdgeCut | NullCut)

Return type:

float

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