Now ATIDLAS is standalone. Everything dynamic....

lib/model/predictors/random_forest.cpp

@@ -0,0 +1,57 @@
+#include "atidlas/model/predictors/random_forest.h"
+#include "../convert.hpp"
+namespace atidlas
+{
+
+namespace predictors
+{
+
+
+random_forest::tree::tree(rapidjson::Value const & treerep)
+{
+  children_left_ = tools::to_int_array<int>(treerep["children_left"]);
+  children_right_ = tools::to_int_array<int>(treerep["children_right"]);
+  threshold_ = tools::to_float_array<float>(treerep["threshold"]);
+  feature_ = tools::to_float_array<float>(treerep["feature"]);
+  for(rapidjson::SizeType i = 0 ; i < treerep["value"].Size() ; i++)
+    value_.push_back(tools::to_float_array<float>(treerep["value"][i]));
+  D_ = value_[0].size();
+}
+
+std::vector<float> const & random_forest::tree::predict(std::vector<int_t> 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]));
+}
+
+std::vector<float> random_forest::predict(std::vector<int_t> const & x) const
+{
+  int_t D = estimators_.front().D();
+  std::vector<float> res(D, 0);
+  for(std::vector<tree>::const_iterator it = estimators_.begin() ; it != estimators_.end() ; ++it)
+  {
+    std::vector<float> const & subres = it->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<random_forest::tree> const & random_forest::estimators() const
+{ return estimators_; }
+
+}
+
+}