Score boosted rank trees one specimen at a time

Score boosted rank trees one specimen at a time

Usage

score_reo_rankboost(model, X, meta = NULL)

Arguments

model

A `reo_rankboost_model` returned by [fit_reo_rankboost()].

X

Numeric matrix of samples containing every raw feature selected and frozen by the fitted backend. Unselected training features are optional. An intercept-only state has no selected raw features.

meta

Optional row-aligned metadata, accepted for canonical dispatch and otherwise ignored.

Value

Numeric case probabilities, one per row of `X`.