Function reference • probably

Thresholds

threshold_perf(): Generate performance metrics across probability thresholds

Create class predictions

append_class_pred(): Add a class_pred column

make_class_pred() make_two_class_pred(): Create a class_pred vector from class probabilities

Class predictions

class_pred(): Create a class prediction object

as_class_pred(): Coerce to a class_pred object

is_class_pred(): Test if an object inherits from class_pred

reportable_rate(): Calculate the reportable rate

is_equivocal() which_equivocal() any_equivocal(): Locate equivocal values

levels(<class_pred>): Extract class_pred levels

Data

segment_naive_bayes segment_logistic: Image segmentation predictions

species_probs: Predictions on animal species