abcpy
v0.5.4

User Documentation

  • 1. Installation
  • 2. Getting Started
  • 3. User Customization
  • 4. Parallelization Backends
  • 5. Post Analysis

Developer Documentation

  • Branching Scheme
  • Deploy a new Release

Reference

  • abcpy package
abcpy
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  • Welcome to ABCpy’s documentation!
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Welcome to ABCpy’s documentation!¶

Release:0.5.4
Date:Jan 08, 2019

User Documentation

  • 1. Installation
    • Installation from PyPI
    • Installation from Source
  • 2. Getting Started
    • Parameters as Random Variables
    • Probabilistic Dependency between Random Variables
    • Hierarchical Model
    • Complex Perturbation Kernels
    • Inference Schemes
    • Summary Selection
    • Model Selection
    • Logging
  • 3. User Customization
    • Implementing a new Model
    • Wrap a Model Written in C++
    • Wrap a Model Written in R
    • Implementing a new Distance
    • Implementing a new Perturbation Kernel
  • 4. Parallelization Backends
    • Using Parallelization Backends
    • Using the Spark Backend
    • Using the MPI Backend
    • Using Cluster Infrastructure
    • Running on Amazon Web Services
    • Setting up the EMR Cluster
    • Running ABCpy on AWS
  • 5. Post Analysis

Developer Documentation

  • Branching Scheme
  • Deploy a new Release

Reference

  • abcpy package
    • abcpy.acceptedparametersmanager module
    • abcpy.approx_lhd module
    • abcpy.backends module
    • abcpy.continuousmodels module
    • abcpy.discretemodels module
    • abcpy.distances module
    • abcpy.graphtools module
    • abcpy.output module
    • abcpy.inferences module
    • abcpy.perturbationkernel module
    • abcpy.probabilisticmodels module
    • abcpy.modelselections module
    • abcpy.statistics module
    • abcpy.summaryselections module

Indices and tables¶

  • Index
  • Module Index
  • Search Page
Next

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