45 template <
class FeatureType,
55 std::vector<LabelType> label_data_;
78 getDatasetAndLabels(DataSet& data_set,
79 std::vector<LabelType>& label_data,
80 std::vector<ExampleIndex>& examples) = 0;
DecisionTreeTrainerDataProvider()
Constructor.
Defines functions, macros and traits for allocating and using memory.
Define standard C methods and C++ classes that are common to all methods.
~DecisionTreeTrainerDataProvider()
Destructor.
shared_ptr< DecisionTreeTrainerDataProvider< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > > Ptr
shared_ptr< const DecisionTreeTrainerDataProvider< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > > ConstPtr
Defines all the PCL and non-PCL macros used.