LearnAPI.jl
  • Home
  • Anatomy of an Implementation
    • Overview
    • Public Names
    • fit/update
    • predict/transform
    • Kinds of Target Proxy
    • obs and Data Interfaces
    • features/target/weights
    • Accessor Functions
    • Learner Traits
  • Common Implementation Patterns
  • Testing an Implementation
Version
  • Regression
  • Regression
GitHub

Regression

See these examples from the JuliaTestAPI.jl test suite:

  • ridge regression (including Saffron data front end)

  • extremely randomized ensemble of decision stumps

Powered by Documenter.jl and the Julia Programming Language.

Settings


This document was generated with Documenter.jl version 1.8.1 on Wednesday 19 February 2025. Using Julia version 1.11.3.