rp_tree_max_split.hpp

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#ifndef MLPACK_CORE_TREE_BINARY_SPACE_TREE_RP_TREE_MAX_SPLIT_HPP
#define MLPACK_CORE_TREE_BINARY_SPACE_TREE_RP_TREE_MAX_SPLIT_HPP
 
#include <mlpack/prereqs.hpp>
#include <mlpack/core/tree/perform_split.hpp>
 
namespace mlpack {
namespace tree  {
 
template<typename BoundType, typename MatType = arma::mat>
class RPTreeMaxSplit
{
 public:
  typedef typename MatType::elem_type ElemType;
  struct SplitInfo
  {
    arma::Col<ElemType> direction;
    ElemType splitVal;
  };
 
  static bool SplitNode(const BoundType& /*bound*/,
                        MatType& data,
                        const size_t begin,
                        const size_t count,
                        SplitInfo& splitInfo);
 
  static size_t PerformSplit(MatType& data,
                             const size_t begin,
                             const size_t count,
                             const SplitInfo& splitInfo)
  {
    return split::PerformSplit<MatType, RPTreeMaxSplit>(data, begin, count,
        splitInfo);
  }
 
  static size_t PerformSplit(MatType& data,
                             const size_t begin,
                             const size_t count,
                             const SplitInfo& splitInfo,
                             std::vector<size_t>& oldFromNew)
  {
    return split::PerformSplit<MatType, RPTreeMaxSplit>(data, begin, count,
        splitInfo, oldFromNew);
  }
 
  template<typename VecType>
  static bool AssignToLeftNode(const VecType& point, const SplitInfo& splitInfo)
  {
    return (arma::dot(point, splitInfo.direction) <= splitInfo.splitVal);
  }
 
 private:
  static bool GetSplitVal(const MatType& data,
                          const size_t begin,
                          const size_t count,
                          const arma::Col<ElemType>& direction,
                          ElemType& splitVal);
};
 
} // namespace tree
} // namespace mlpack
 
// Include implementation.
#include "rp_tree_max_split_impl.hpp"
 
#endif // MLPACK_CORE_TREE_BINARY_SPACE_TREE_RP_TREE_MAX_SPLIT_HPP