append_class_pred       Add a 'class_pred' column
as_class_pred           Coerce to a 'class_pred' object
boosting_predictions    Boosted regression trees predictions
cal_apply               Applies a calibration to a set of existing
                        predictions
cal_estimate_beta       Uses a Beta calibration model to calculate new
                        probabilities
cal_estimate_isotonic   Uses an Isotonic regression model to calibrate
                        model predictions.
cal_estimate_isotonic_boot
                        Uses a bootstrapped Isotonic regression model
                        to calibrate probabilities
cal_estimate_linear     Uses a linear regression model to calibrate
                        numeric predictions
cal_estimate_logistic   Uses a logistic regression model to calibrate
                        probabilities
cal_estimate_multinomial
                        Uses a Multinomial calibration model to
                        calculate new probabilities
cal_plot_breaks         Probability calibration plots via binning
cal_plot_logistic       Probability calibration plots via logistic
                        regression
cal_plot_regression     Regression calibration plots
cal_plot_windowed       Probability calibration plots via moving
                        windows
cal_validate_beta       Measure performance with and without using Beta
                        calibration
cal_validate_isotonic   Measure performance with and without using
                        isotonic regression calibration
cal_validate_isotonic_boot
                        Measure performance with and without using
                        bagged isotonic regression calibration
cal_validate_linear     Measure performance with and without using
                        linear regression calibration
cal_validate_logistic   Measure performance with and without using
                        logistic calibration
cal_validate_multinomial
                        Measure performance with and without using
                        multinomial calibration
class_pred              Create a class prediction object
collect_metrics.cal_rset
                        Obtain and format metrics produced by
                        calibration validation
collect_predictions.cal_rset
                        Obtain and format predictions produced by
                        calibration validation
control_conformal_full
                        Controlling the numeric details for conformal
                        inference
int_conformal_cv        Prediction intervals via conformal inference
                        CV+
int_conformal_full      Prediction intervals via conformal inference
int_conformal_quantile
                        Prediction intervals via conformal inference
                        and quantile regression
int_conformal_split     Prediction intervals via split conformal
                        inference
is_class_pred           Test if an object inherits from 'class_pred'
levels.class_pred       Extract 'class_pred' levels
locate-equivocal        Locate equivocal values
make_class_pred         Create a 'class_pred' vector from class
                        probabilities
predict.int_conformal_full
                        Prediction intervals from conformal methods
reportable_rate         Calculate the reportable rate
segment_naive_bayes     Image segmentation predictions
species_probs           Predictions on animal species
threshold_perf          Generate performance metrics across probability
                        thresholds
