Welcome to pyLFI’s documentation!

Release

0.0.1

Date

Dec 04, 2021

pyLFI is a Python toolbox using likelihood-free inference (LFI) for estimating the posterior distributions over model parameters.

User Documentation:

• 1. Installation

• 2. Getting Started
  • Introduction
  • The ABC of Approximate Bayesian Computation
  • Parameter Identification with pyLFI

• Example gallery
  • The pyLFI Prior class

API Reference

• API Reference
  • pylfi.inferences: Inference schemes
  • pylfi.priors: Prior distributions
  • pylfi.utils: Utility functions
  • pylfi.journal: Journal class

Indices and tables

• Index

• Module Index

• Search Page

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1. Installation