Point Cloud Library (PCL) 1.12.0
Loading...
Searching...
No Matches
decision_tree_data_provider.h
1/*
2 * Software License Agreement (BSD License)
3 *
4 * Point Cloud Library (PCL) - www.pointclouds.org
5 * Copyright (c) 2010-2011, Willow Garage, Inc.
6 *
7 * All rights reserved.
8 *
9 * Redistribution and use in source and binary forms, with or without
10 * modification, are permitted provided that the following conditions
11 * are met:
12 *
13 * * Redistributions of source code must retain the above copyright
14 * notice, this list of conditions and the following disclaimer.
15 * * Redistributions in binary form must reproduce the above
16 * copyright notice, this list of conditions and the following
17 * disclaimer in the documentation and/or other materials provided
18 * with the distribution.
19 * * Neither the name of Willow Garage, Inc. nor the names of its
20 * contributors may be used to endorse or promote products derived
21 * from this software without specific prior written permission.
22 *
23 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
24 * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
25 * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
26 * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
27 * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
28 * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
29 * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
30 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
31 * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
32 * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
33 * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
34 * POSSIBILITY OF SUCH DAMAGE.
35 *
36 */
37
38#pragma once
39
40#include <pcl/common/common.h>
41#include <pcl/memory.h>
42#include <pcl/pcl_macros.h> // for PCL_EXPORTS
43
44namespace pcl {
45template <class FeatureType,
46 class DataSet,
47 class LabelType,
48 class ExampleIndex,
49 class NodeType>
51
52 /** The training data set. */
53 DataSet data_set_;
54 /** The label data. */
55 std::vector<LabelType> label_data_;
56
57public:
58 using Ptr = shared_ptr<DecisionTreeTrainerDataProvider<FeatureType,
59 DataSet,
62 NodeType>>;
63 using ConstPtr = shared_ptr<const DecisionTreeTrainerDataProvider<FeatureType,
64 DataSet,
67 NodeType>>;
68
69 /** Constructor. */
71
72 /** Destructor. */
74
75 /** Virtual function called to obtain training examples and labels before
76 * training a specific tree */
77 virtual void
79 std::vector<LabelType>& label_data,
80 std::vector<ExampleIndex>& examples) = 0;
81};
82
83} // namespace pcl
Iterator class for point clouds with or without given indices.
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.
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.