#include "isaac/database/predictors/random_forest.h" #include "rapidjson/to_array.hpp" namespace isaac { namespace predictors { random_forest::tree::tree(rapidjson::Value const & treerep) { children_left_ = rapidjson::to_int_array(treerep["children_left"]); children_right_ = rapidjson::to_int_array(treerep["children_right"]); threshold_ = rapidjson::to_float_array(treerep["threshold"]); feature_ = rapidjson::to_float_array(treerep["feature"]); for(rapidjson::SizeType i = 0 ; i < treerep["value"].Size() ; i++) value_.push_back(rapidjson::to_float_array(treerep["value"][i])); D_ = value_[0].size(); } std::vector const & random_forest::tree::predict(std::vector const & x) const { int_t idx = 0; while(children_left_[idx]!=-1) idx = (x[feature_[idx]] <= threshold_[idx])?children_left_[idx]:children_right_[idx]; return value_[idx]; } int_t random_forest::tree::D() const { return D_; } random_forest::random_forest(rapidjson::Value const & estimators) { for(rapidjson::SizeType i = 0 ; i < estimators.Size() ; ++i) estimators_.push_back(tree(estimators[i])); D_ = estimators_.front().D(); } std::vector random_forest::predict(std::vector const & x) const { std::vector res(D_, 0); for(const auto & elem : estimators_) { std::vector const & subres = elem.predict(x); for(int_t i = 0 ; i < D_ ; ++i) res[i] += subres[i]; } for(int_t i = 0 ; i < D_ ; ++i) res[i] /= estimators_.size(); return res; } std::vector const & random_forest::estimators() const { return estimators_; } } }