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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).