Computes raw Gibbs distribution scores for new environmental data.
Usage
maxent_predict(fs_ptr, new_data)
Arguments
- fs_ptr
External pointer to a trained FeaturedSpace object.
- new_data
Numeric matrix with one row per new point and one column
per feature (values must be pre-evaluated, i.e., the feature
transformation already applied).
Value
Numeric vector of raw scores (unnormalized).