build(table *maintable, table::subset *subtable, bool evaluate=true) | yadt::dtree | |
clone() const | yadt::dtree | |
depth() const | yadt::dtree | |
dtree(const string &name="my_decision_tree") | yadt::dtree | |
dtree(const dtree &) | yadt::dtree | |
evaluate(const datasource &ds, ostream &output, char sep= '\t') const | yadt::dtree | |
fromBinary(const string &filename) | yadt::dtree | [static] |
get_elapsed() const | yadt::dtree | |
get_prediction() | yadt::dtree | |
operator=(const dtree &) | yadt::dtree | |
predict(const datasource &ds) const | yadt::dtree | |
predict(vector< string > &attributes, float weight=1) const | yadt::dtree | |
predict(table *cases, table::subset *subtable) const | yadt::dtree | |
PRUNING_C45 enum value | yadt::dtree | |
PRUNING_DT enum value | yadt::dtree | |
PRUNING_NO enum value | yadt::dtree | |
PruningStrategy enum name | yadt::dtree | |
set_conf_level(float conf_level) | yadt::dtree | |
set_min_obj(float min_objects) | yadt::dtree | |
set_pruning_strategy(PruningStrategy strategy) | yadt::dtree | |
set_split_type(SplitType st) | yadt::dtree | |
size() const | yadt::dtree | |
SplitType enum name | yadt::dtree | |
ST_GAIN enum value | yadt::dtree | |
ST_GAIN_RATIO enum value | yadt::dtree | |
toBinary(const string &filename) | yadt::dtree | |
toDOT(ostream &os=cout) const | yadt::dtree | |
toTEXT(ostream &os=cout) const | yadt::dtree | |
toXML(ostream &os=cout, const conf_matrix *cmTest=NULL) const | yadt::dtree | |
training_n_rows() const | yadt::dtree | |
~dtree() | yadt::dtree |