emil.extensions

This page describes how to implement custom methods
    compatible with the functions of the emil framework, most
    notably <code><a href="/link/fit?package=emil&version=1.1-6" rd-options="" data-mini-rdoc="emil::fit">fit</a></code>, <code><a href="/link/tune?package=emil&version=1.1-6" rd-options="" data-mini-rdoc="emil::tune">tune</a></code>, and
    <code><a href="/link/evaluate.modeling?package=emil&version=1.1-6" rd-options="" data-mini-rdoc="emil::evaluate.modeling">evaluate.modeling</a></code>. Pre-processing and
    resampling is not covered here, but in the entries
    <code><a href="/link/pre.process?package=emil&version=1.1-6" rd-options="" data-mini-rdoc="emil::pre.process">pre.process</a></code> and <code><a href="/link/resample?package=emil&version=1.1-6" rd-options="" data-mini-rdoc="emil::resample">resample</a></code>.

A toolbox for designing and evaluating predictive models with
    resampling methods. The aim of this package is to provide a simple and
    efficient general framework for working with any type of prediction
    problem, be it classification, regression or survival analysis, that is
    easy to extend and adapt to your specific setting. Some commonly used
    methods for classification, regression and survival analysis are included.

Christofer Backlin

emil

Evaluation of Modeling without Information Leakage

emil.extensions function

See <code><a href="/link/error.fun?package=emil&version=1.1-6" rd-options="" data-mini-rdoc="emil::error.fun">error.fun</a></code>.

emil.extensions: Extending the emil framework with user-defined methods

Description

Arguments

Calculating performance

See Also