Creates a linear (normalized) feature: eval(i) = (values[i] - min) / (max - min).
Returns 0 when min == max.
Usage
create_linear_feature(values, name, min_val, max_val)
Arguments
- values
Numeric vector of environmental variable values
- name
Feature name/identifier
- min_val
Minimum value for normalization
- max_val
Maximum value for normalization
Value
External pointer to LinearFeature object
