Welcome to hiclass’ documentation!

• Introduction
  • What is HiClass?
  • Learn how to use HiClass
• Get Started
  • Installation prerequisites
  • Virtual environments
    • conda
    • venv
    • pipenv
  • Install HiClass
    • Verify a successful installation
  • A “Hello World” example
    • Hierarchical Data
    • Local Hierarchical Classifier
    • Training and Predicting
    • Hello HiClass!
• Gallery of Examples
  • Hello HiClass
  • Different Number of Levels
  • Binary Training Policies
  • Model Persistence
  • Building Pipelines
  • Parallel Training
  • Calibrating a Classifier
• Algorithms Overview
  • Local Classifier Per Node
    • Training Policies
  • Local Classifier Per Parent Node
  • Local Classifier Per Level
  • Metrics
    • Classification Metrics
    • Calibration Metrics
  • Classifier Calibration
    • Motivation
    • Methods
    • Probability Aggregation
    • Code sample
• API reference
  • Hierarchical Classifiers
    • Shared classes
    • LocalClassifierPerLevel
    • LocalClassifierPerNode
    • LocalClassifierPerParentNode
  • Flat Classifier
    • FlatClassifier
  • Data Utilities
    • Binary Policies
    • Hierarchical Metrics
    • Datasets