Create a Binary (Categorical Indicator) Feature

Creates a binary feature that evaluates to 1.0 when the underlying value equals the target category, 0.0 otherwise. This is the building block for categorical variable support, matching Java Maxent's BinaryFeature class.

Usage

maxent_binary_feature(values, name, target)

Arguments

values

Numeric vector of categorical variable values.

name

Character string: feature name/identifier.

target

The category value to test for.

Value

External pointer to a BinaryFeature C++ object.

Examples

if (FALSE) { # \dontrun{
vals <- c(1, 2, 3, 1, 2)
f <- maxent_binary_feature(vals, "(landcover=1)", target = 1)
maxent_feature_eval(f, 1)  # 1.0 (values[1] == 1)
maxent_feature_eval(f, 2)  # 0.0 (values[2] == 2)
} # }