API Documentation

SPFlow provides a comprehensive set of modules for building and working with Probabilistic Circuits (PCs). This API reference is organized by component type and functionality.

• Base Classes
  • Module
  • LeafModule
• Module Shape
  • ModuleShape
• Sum Modules
  • Sum
  • ElementwiseSum
• Product Modules
  • Product
  • ElementwiseProduct
  • OuterProduct
• Convolutional Modules
  • ConvPc
  • SumConv
  • ProdConv
• Einsum Modules
  • Einet
  • EinsumLayer
  • LinsumLayer
  • Comparison
• Leaf Modules
  • Continuous Distributions
  • Discrete Distributions
  • Non-Parametric Distributions
• Operations
  • Cat
  • Split
  • SplitMode
  • SplitConsecutive
  • SplitInterleaved
  • SplitByIndex
• RAT-SPN Architecture
  • RatSPN
  • RepetitionMixingLayer
• Learning and Training
  • Structure Learning
  • Parameter Learning: EM
  • Parameter Learning: Gradient Descent
• Scope Management
  • Scope
• Utilities
  • Visualization
  • Model I/O
  • Cache
  • Method Replacement
• Wrapper Modules
  • Wrapper (Base Class)
  • ImageWrapper
  • MarginalizationContext
• Interfaces
  • Classifier
• Exceptions
  • InvalidParameterCombinationError
  • ScopeError
  • ShapeError
  • StructureError
  • GraphvizError