Package index • xplus

All functions

assess(): Assess predictive performance
auc(): Compute area under the ROC curve
auc_matrix(): Compute AUC from matrix labels
binexample: Example binary labels dataset
coef(<xplus>): Extract coefficients from an xplus model
cutoff_example: Example cutoff values
fit_xplus_example: Example fitted xplus object
get_auc(): Compute AUC for predictions from a model
get_importance(): Extract feature scores from an xplus model
get_predictions(): Build a tidy prediction table
lacs: LACS dataset
lacsSample: LACS sample dataset
predict(<xplus>): Predict from an xplus model
predict(<xplus_baseline>): Predict from a PU baseline model
predicted_coefficients_example: Example predicted coefficients
predicted_y_example: Example predicted probabilities
print(<summary.xplus>): Print method for summary.xplus objects
print(<xplus>): Print an xplus model
print(<xplus_backend>): Print method for xplus_backend objects
print(<xplus_pu_data>): Print method for xplus_pu_data objects
pu_mask(): Convert true binary labels into PU labels
pu_score(): PU-valid score for a fitted xplus object
pu_xplus(): parsnip model spec for PU learning with xplus
simulate_pu_data(): Simulate a positive-unlabeled dataset
summary(<xplus>): Summarize an xplus model
xplus(): Fit an xplus model
xplus_backend(): Specify a fitting backend for xplus
xplus_backend_gam(): GAM logistic backend for xplus
xplus_backend_glmnet(): Elastic-net logistic backend for xplus
xplus_backend_lightgbm(): LightGBM gradient-boosting backend for xplus
xplus_backend_parsnip(): Parsnip model-spec backend for xplus
xplus_backend_ranger(): Ranger random-forest backend for xplus
xplus_backend_xgboost(): XGBoost gradient-boosting backend for xplus
xplus_elkan_noto() xplus_naive(): PU learning baselines on the xplus backend contract
xplus_grid(): Compare learners or hyperparameter grids on PU data
xplus_object_example: Example xplus object
xplus_parsnip_register(): xplus as a parsnip model