tests/testthat/_snaps/cubist.md

In Cubist: Rule- And Instance-Based Regression Modeling

cubist errors with non-numeric outcome

Code
  cubist(data$x, factor(data$y > 0))
Condition
  Error:
  ! cubist models require a numeric outcome

cubist errors with committees outside 1-100

Code
  cubist(data$x, data$y, committees = 0)
Condition
  Error:
  ! number of committees must be between 1 and 100

Code
  cubist(data$x, data$y, committees = 101)
Condition
  Error:
  ! number of committees must be between 1 and 100

cubist errors when x is not data.frame or matrix

Code
  cubist(as.list(data$x), data$y)
Condition
  Error:
  ! x must be a matrix or data frame

cubist errors with non-numeric weights

Code
  cubist(data$x, data$y, weights = rep("a", 50))
Condition
  Error:
  ! case weights must be numeric

cubist errors with missing column names

Code
  cubist(x_no_names, data$y)
Condition
  Error in `check_names()`:
  ! The data should have column names

cubistControl errors with rules outside 1-1000000

Code
  cubistControl(rules = 0)
Condition
  Error:
  ! number of rules must be between 1 and 1000000

Code
  cubistControl(rules = 1000001)
Condition
  Error:
  ! number of rules must be between 1 and 1000000

cubistControl errors with extrapolation outside 0-100

Code
  cubistControl(extrapolation = -1)
Condition
  Error:
  ! percent extrapolation must between 0 and 100

Code
  cubistControl(extrapolation = 101)
Condition
  Error:
  ! percent extrapolation must between 0 and 100

cubistControl errors with sample outside 0-99.9

Code
  cubistControl(sample = -1)
Condition
  Error:
  ! sampling percentage must be between 0.0 and 99.9

Code
  cubistControl(sample = 100)
Condition
  Error:
  ! sampling percentage must be between 0.0 and 99.9

check_names errors without column names

Code
  Cubist:::check_names(mat)
Condition
  Error in `Cubist:::check_names()`:
  ! The data should have column names

check_date_columns errors with Date column

Code
  Cubist:::check_date_columns(df)
Condition
  Error:
  ! Column 'date_col' has a date/datetime class. Cubist does not support date or datetime predictors. Consider converting to numeric (e.g., days since a reference date) or extracting components (year, month, day) as separate predictors.

check_date_columns errors with POSIXct column

Code
  Cubist:::check_date_columns(df)
Condition
  Error:
  ! Column 'datetime_col' has a date/datetime class. Cubist does not support date or datetime predictors. Consider converting to numeric (e.g., days since a reference date) or extracting components (year, month, day) as separate predictors.

check_date_columns errors with POSIXlt column

Code
  Cubist:::check_date_columns(df)
Condition
  Error:
  ! Column 'datetime_col' has a date/datetime class. Cubist does not support date or datetime predictors. Consider converting to numeric (e.g., days since a reference date) or extracting components (year, month, day) as separate predictors.

Cubist documentation built on March 3, 2026, 1:06 a.m.