Halerium

Halerium is a Python package for building, training and evaluating Bayesian statistical models for the purposes of machine learning, parameter inference and causal inference.

Contents

• Getting Started
  • Installation
  • High level usage
  • Low level usage
• High-level usage - Examples
  • Walk-through examples
  • Examples on causal inference
  • Examples with real data application
  • Other examples
• High-level usage - Code Overview
  • Causal Structures
  • Objectives
• Low-level usage - Examples
  • Example for in-a-nutshell overview
  • Example explaining the principles
  • Examples illustrating the training process
  • Example explaining the available distributions
  • Regression examples
  • Efficient structure creation and reuse
  • Examples explaining the objective classes
  • Examples on causal calculus
  • Examples on time-series modeling
  • Examples illustrating the advantages of Halerium
• Low-level usage - Code Overview
  • Structures
  • Scoping
  • Graphs
  • Entities
  • Variables
  • Printing child trees
  • Operations
  • Links
  • Data
  • Models
  • Objectives
  • Distributions
  • Regression factories
  • Causal Calculus
  • Time Series
• Release Notes
  • 3.3.1
  • 3.3.0
  • 3.2.1
  • 3.2.0
  • 3.1.0