rule_based: Rule based classification

View source: R/rule_based.R

rule_basedR Documentation

Rule based classification

Description

rule_based() defines a model that uses fixed rules to classify an input.

Usage

rule_based(mode = "classification", engine = "eoo")

Arguments

mode

A single character string for the prediction outcome mode. Only "classification" is allowed.

engine

A single character string specifying the engine to use.

Details

As the model uses fixed rules, fitting it just creates a model object. Different sets of rules are implemented as model engines.

Information about the class of model fit can be found in rule_based_assessment. The engine-specific pages for the different rule sets can be found in:

  • eoo_threshold (default)

  • conr_thresholds

More information on how parsnip is used for modeling is at https://www.tidymodels.org/.

Examples

parsnip::show_engines("rule_based")

rule_based(mode="classification", engine="conr")


barnabywalker/tidyassessments documentation built on April 8, 2022, 12:32 p.m.