Man pages for bsnsing
Build Decision Trees with Optimal Multivariate Splits
| auto | auto |
| binarize | Create Binary Variables by the Classification Target |
| binarize.factor | Create Binary Features based on a Factor Vector |
| binarize.numeric | Create Binary Features based on a Numeric Vector |
| binarize.y | Recode a Variable with Two Unique Values into an 0/1 Vector |
| BreastCancer | BreastCancer |
| bscontrol | Define Parameters for the 'bsnsing' Fit |
| bslearn | Find the Optimal Boolean Rule for Binary Classification |
| bsnsing | Learn a Classification Tree using Boolean Sensing |
| bsnsing.default | Learn a Classification Tree with Boolean Sensing |
| bsnsing.formula | Learn a Classification Tree using Boolean Sensing |
| bsnsing-package | bsnsing: Build Decision Trees with Optimal Multivariate... |
| GlaucomaMVF | GlaucomaMVF |
| import_external_rules | Import split rules from other packages |
| iris | iris |
| mbsnsing-class | A class that contains multi-class classification model built... |
| plot.bsnsing | Generate latex code for plotting a bsnsing tree |
| plot.mbsnsing | Generate latex code for plotting an mbsnsing tree |
| predict.bsnsing | Make Predictions with a Fitted 'bsnsing' Model |
| predict.mbsnsing | Make Predictions with a 'bsnsing' Model |
| print.bscontrol | Print the Object of Class 'bscontrol' |
| print.bsnsing | Print the Object of Class 'bsnsing' |
| print.mbsnsing | Print the Object of Class 'mbsnsing' |
| print.summary.bsnsing | Print the Summary of 'bsnsing' Model |
| print.summary.mbsnsing | Print the summary of 'mbsnsing' model fits |
| rcpp_bslearn | C implementation of the bslearn function |
| ROC_func | Plot the ROC curve and calculate the AUC |
| summary.bsnsing | Summarize the bsnsing Model Fits |
| summary.mbsnsing | Summarize mbsnsing Model Fits |
