tidyRules.cubist: Obtain rules as a tidy tibble from a cubist model

In tidyrules: Obtain Rules from Rule Based Models as Tidy Dataframe

Description

Each row corresponds to a rule. A rule can be copied into 'dplyr::filter' to filter the observations corresponding to a rule

Usage

## S3 method for class 'cubist'
tidyRules(object, ...)

Arguments

object	Fitted model object with rules
...	Other arguments (currently unused)

Details

When col_classes argument is missing, an educated guess is made about class by parsing the RHS of sub-rule. This might sometimes not lead to a parsable rule.

Optional named arguments:

• language (string, default: "r"): language where the rules are parsable. The allowed options is one among: r, python, sql

Value

A tibble where each row corresponds to a rule. The columns are: support, mean, min, max, error, lhs, rhs and committee

Author(s)

Srikanth KS, [e-mail]

Examples

data("attrition", package = "modeldata")
attrition <- tibble::as_tibble(attrition)
cols_att <- setdiff(colnames(attrition), c("MonthlyIncome", "Attrition"))

cb_att <-
  Cubist::cubist(x = attrition[, cols_att],y = attrition[["MonthlyIncome"]])
tr_att <- tidyRules(cb_att)
tr_att

tidyrules documentation built on July 1, 2020, 5:49 p.m.