Man pages for triplot
Explaining Correlated Features in Machine Learning Models
| aspect_importance | Calculates importance of variable groups (called aspects) for... |
| aspect_importance_single | Aspects importance for single aspects |
| calculate_triplot | Calculate triplot that sums up automatic aspect/feature... |
| cluster_variables | Creates a cluster tree from numeric features |
| get_sample | Function for getting binary matrix |
| group_variables | Helper function that combines clustering variables and... |
| hierarchical_importance | Calculates importance of hierarchically grouped aspects |
| list_variables | Cuts tree at custom height and returns a list |
| plot.aspect_importance | Function for plotting aspect_importance results |
| plot.cluster_variables | Plots tree with correlation values |
| plot.triplot | Plots triplot |
| print.aspect_importance | Function for printing aspect_importance results |
