Point Cloud Library (PCL)
1.11.1-dev
pcl
ml
dt
decision_tree_data_provider.h
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/*
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* Software License Agreement (BSD License)
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*
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* Point Cloud Library (PCL) - www.pointclouds.org
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* Copyright (c) 2010-2011, Willow Garage, Inc.
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*
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* All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above
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* copyright notice, this list of conditions and the following
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* disclaimer in the documentation and/or other materials provided
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* with the distribution.
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* * Neither the name of Willow Garage, Inc. nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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* POSSIBILITY OF SUCH DAMAGE.
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*
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*/
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#pragma once
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#include <
pcl/common/common.h
>
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#include <
pcl/memory.h
>
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#include <
pcl/pcl_macros.h
>
// for PCL_EXPORTS
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namespace
pcl
{
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template
<
class
FeatureType,
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class
DataSet,
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class
LabelType,
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class
ExampleIndex,
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class
NodeType>
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class
PCL_EXPORTS
DecisionTreeTrainerDataProvider
{
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/** The training data set. */
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DataSet data_set_;
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/** The label data. */
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std::vector<LabelType> label_data_;
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public
:
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using
Ptr
= shared_ptr<
DecisionTreeTrainerDataProvider
<FeatureType,
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DataSet,
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LabelType,
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ExampleIndex,
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NodeType>>;
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using
ConstPtr
= shared_ptr<
const
DecisionTreeTrainerDataProvider
<FeatureType,
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DataSet,
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LabelType,
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ExampleIndex,
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NodeType>>;
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/** Constructor. */
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DecisionTreeTrainerDataProvider
() {}
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/** Destructor. */
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~DecisionTreeTrainerDataProvider
() {}
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/** Virtual function called to obtain training examples and labels before
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* training a specific tree */
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virtual
void
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getDatasetAndLabels(DataSet& data_set,
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std::vector<LabelType>& label_data,
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std::vector<ExampleIndex>& examples) = 0;
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};
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}
// namespace pcl
pcl_macros.h
Defines all the PCL and non-PCL macros used.
pcl
Definition:
convolution.h:46
common.h
pcl::DecisionTreeTrainerDataProvider::ConstPtr
shared_ptr< const DecisionTreeTrainerDataProvider< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > > ConstPtr
Definition:
decision_tree_data_provider.h:67
pcl::DecisionTreeTrainerDataProvider::~DecisionTreeTrainerDataProvider
~DecisionTreeTrainerDataProvider()
Destructor.
Definition:
decision_tree_data_provider.h:73
pcl::DecisionTreeTrainerDataProvider
Definition:
decision_tree_data_provider.h:50
pcl::DecisionTreeTrainerDataProvider::DecisionTreeTrainerDataProvider
DecisionTreeTrainerDataProvider()
Constructor.
Definition:
decision_tree_data_provider.h:70
pcl::DecisionTreeTrainerDataProvider::Ptr
shared_ptr< DecisionTreeTrainerDataProvider< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > > Ptr
Definition:
decision_tree_data_provider.h:62
memory.h
Defines functions, macros and traits for allocating and using memory.
PCL_EXPORTS
#define PCL_EXPORTS
Definition:
pcl_macros.h:323