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SPFlow 1.0.0
SPFlow 1.0.0
  • Getting Started
  • Concepts
  • Guides
    • User Guide
    • Developer Guide
    • APC MNIST Training Example
    • Using SPFlow with sklearn
  • Paper Zoo
    • Autoencoding Probabilistic Circuits (APC)
    • Random and Tensorized Sum-Product Networks (RAT-SPN)
    • Einsum Networks (Einet)
    • Hidden Chow-Liu Trees (HCLT)
    • Convolutional Probabilistic Circuits (ConvPc)
    • Continuous Mixtures (CMs)
    • Sum of Compatible Squares (SOCS)
    • Probabilistic Integral Circuits (PICs)
  • API Documentation
    • Base Classes
    • Data Structures
    • Module Shape
    • DSL (Example Construction)
    • Sum Modules
    • Product Modules
    • Convolutional Modules
    • Leaf Modules
    • Operations
    • Learning and Training
    • Scope Management
    • Utilities
    • Measures
    • Wrapper Modules
    • Interfaces
    • Exceptions
  • Frequently Asked Questions
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GuidesΒΆ

The guides collect end-to-end tutorials and workflow-oriented documentation for using and extending SPFlow.

  • User Guide
  • Developer Guide
  • APC MNIST Training Example
  • Using SPFlow with sklearn
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