Man pages for imbs-hl/timbR
Tree interpretation methods based on ranger
| generate_tree | Generate artificial representative tree (art) for a random... |
| get_art_prob | 'get_art_prob' transforms a classification tree to a... |
| get_calibrated_nodes | Node-wise calibration of predictions of decision tree using... |
| get_calibrated_prediction_regression | Calibration of predictions of regression model using... |
| get_calibrated_prediction_regression_mondrian | Node-wise calibration of predictions of decision tree using... |
| get_distance_score | 'get_distance_score' calculated tree based distance score for... |
| get_distance_values | 'get_distance_values' calculated tree based distance values... |
| get_factor_split_levels | Get split criterion (levels) for factor or character... |
| get_inbag_data | Get inbag data of decision tree |
| get_observations_node | Get number of observations of the inbag data that reach... |
| get_parent_id | Get ID of parent node |
| get_prediction_node | Get prediction of the node |
| get_prediction_terminal_node | Get prediction of the node |
| get_split_criterion | Get split criterion (levels) for factor, character or... |
| get_splitted_data | Get for each node which observations of the inbag data reach... |
| get_uncertainty_node | Get uncertainty quantification for terminal nodes (only for... |
| measure_distances | Measure pair-wise distances between trees of a random forest |
| plot_tree | Generates pdf document with plot from decision tree... |
| select_trees | Select most representative trees of a random forest |
| seperate_data_nodes | 'seperate_data_nodes' splits the input data using the... |
| tree_to_text | Get latex code in the format of the package "forest" for the... |
