45template <
class FeatureType,
55 std::vector<LabelType> label_data_;
80 std::vector<ExampleIndex>&
examples) = 0;
Iterator class for point clouds with or without given indices.
DecisionTreeTrainerDataProvider()
Constructor.
virtual void getDatasetAndLabels(DataSet &data_set, std::vector< LabelType > &label_data, std::vector< ExampleIndex > &examples)=0
Virtual function called to obtain training examples and labels before training a specific tree.
~DecisionTreeTrainerDataProvider()
Destructor.
Define standard C methods and C++ classes that are common to all methods.
Defines functions, macros and traits for allocating and using memory.
Defines all the PCL and non-PCL macros used.