CategoricalDataRaw: Data class for categorical variables

In schalkdaniel/compboost: Efficient Component-Wise Boosting Implementation

Data class for categorical variables

Description

CategoricalDataRaw creates an data object which can be used as source object to instantiate categorical base learner.

Arguments

x	(character()) Categorical vector.
data_identifier	(character(1)) Data id, e.g. a feature name.

Format

S4 object.

Usage

CategoricalDataRaw$new(x, data_identifier)

Fields

This class doesn't contain public fields.

Methods

• ⁠$getData()⁠: ⁠() -> stop()⁠
  Throws error because no representation is calculated.

• ⁠$getRawData()⁠: ⁠() -> character()⁠

• ⁠$getIdentifier()⁠: ⁠() -> character(1)⁠

Inherited methods from Data

• ⁠$getDataType()⁠: ⁠() -> character(1)⁠

Examples

# Sample data:
x = sample(c("one","two", "three"), 20, TRUE)

# Create new data object:
data_obj = CategoricalDataRaw$new(x, "cat_raw")

# Get data and identifier:
data_obj$getRawData()
data_obj$getIdentifier()

schalkdaniel/compboost documentation built on April 15, 2023, 9:03 p.m.