Man pages for niarules
Numerical Association Rule Mining using Population-Based Nature-Inspired Algorithms
| add_attribute | Add an attribute to the "rule" list. |
| build_coral_plots | Build coral plot layout (nodes + edges) from a parsed rules... |
| build_layout_cpp | Entry point for R to generate coral plot data from a set of... |
| build_rule | Build rules based on a candidate solution. |
| calculate_border | Calculate the border value based on feature information and a... |
| calculate_fitness | Calculate the fitness of an association rule. |
| calculate_selected_category | Calculate the selected category based on a value and the... |
| check_attribute | Check if the attribute conditions are satisfied for an... |
| coral_get_theme | Get a theme object (experimental) |
| coral_list_themes | Available themes (experimental) |
| cut_point | Calculate the cut point for an association rule. |
| differential_evolution | Implementation of Differential Evolution metaheuristic... |
| evaluate | Evaluate a candidate solution, with optional time series... |
| extract_feature_info | Extract feature information from a dataset, excluding... |
| feature_position | Get the position of a feature. |
| fix_borders | Fix Borders of a Numeric Vector |
| format_rule_parts | Format Rule Parts |
| map_to_ts | Map solution boundaries to time series instances. |
| metric_domains | Compute metric domains (experimental) |
| parse_rules | Parse association rules into a reusable, layout-agnostic... |
| parse_rules_cpp | Low-level C++ parser for association rules |
| particle_swarm_optimization | Implementation of Particle Swarm Optimization (PSO)... |
| print_association_rules | Print Numerical Association Rules |
| print_feature_info | Print feature information extracted from a dataset. |
| problem_dimension | Calculate the dimension of the problem, excluding timestamps. |
| read_dataset | Read a CSV Dataset |
| render_coral_rgl | Apply styling to coral plots and render them with rgl |
| render_coral_rgl_experimental | Coral 3D renderer (experimental) |
| rs | Simple Random Search |
| supp_conf | Calculate support and confidence for an association rule. |
| write_association_rules_to_csv | Write Association Rules to CSV file |
