Welcome to CCOBRA’s documentation!

Fundamentals

• Installation
  • From PyPI
  • From the Repository
• First Steps
  • Installing CCOBRA
  • Testing the Installation
  • How to Proceed
• My First Dataset
  • Overview
    • Base format
    • Extended Datasets
  • Preparing my first dataset
    • Id
    • Sequence
    • Domain
    • Task
    • Response Type
    • Choices
    • Response
    • Additional Information
• My First Benchmark
  • Overview
    • Benchmark Types
    • Path Handling
    • Auxiliary Evaluations
  • Creation of Benchmark Specification File
  • Comparators
    • Equality
    • Absolute Difference
    • Squared Difference
    • No Valid Conclusion
    • Custom Comparators
    • Custom Task/Response-Encoders
  • Running the Benchmark
• My First Model
  • Overview
    • Model Object Lifetime
  • Implementing my first model
    • Constructor
    • Pre-Training
    • Person-Training
    • Predictions
    • Adaption
• Running CCOBRA

Concepts

• Benchmark Types
  • Prediction Setting
  • Adaption Setting
  • Coverage Setting
  • LOO-Coverage Setting
  • Which setting should I choose?
• Learning in CCOBRA
  • Modeling Problem
  • Phases of Learning
    • A Metaphor for CCOBRA’s Learning
    • Pre-Training: Global Effects
    • Pre-Training: Person Background
    • Pre-Training: Person
    • Adaption: Individual Effects / User Profile

API Documentation

ccobra

CCOBRA Module