Welcome to ABCpy’s documentation!

Release:0.5.7 Date:Jan 30, 2020

User Documentation

• 1. Installation
  • Installation from PyPI
  • Installation from Source

• 2. Getting Started
  • Parameters as Random Variables
  • Probabilistic Dependency between Random Variables
  • Hierarchical Model
  • Composite Perturbation Kernels
  • Inference Schemes
  • Statistics Learning
  • 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 MPI Backend
  • Using the Spark 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.inferences module
  • abcpy.modelselections module
  • abcpy.NN_utilities module
  • abcpy.output module
  • abcpy.perturbationkernel module
  • abcpy.probabilisticmodels module
  • abcpy.statistics module
  • abcpy.statisticslearning module

Indices and tables

• Index
• Module Index
• Search Page