Creates a linear (normalized) feature that evaluates to
(values[i] - min) / (max - min). Returns 0 when min == max.
Usage
maxent_linear_feature(values, name, min_val = NULL, max_val = NULL)
Arguments
- values
Numeric vector of environmental variable values.
- name
Character string: feature name/identifier.
- min_val
Minimum value for normalization. If NULL (default),
computed as min(values).
- max_val
Maximum value for normalization. If NULL (default),
computed as max(values).
Value
External pointer to a LinearFeature C++ object.
Examples
vals <- c(0, 5, 10, 3)
f <- maxent_linear_feature(vals, "temperature")
maxent_feature_eval(f, 1) # index 1 (R) -> 0-based index 0
#> [1] 0
