Point Cloud Library (PCL)
1.12.0
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pcl
ml
impl
dt
decision_forest_trainer.hpp
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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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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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DecisionForestTrainer<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
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DecisionForestTrainer
()
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: num_of_trees_to_train_(1), decision_tree_trainer_()
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{}
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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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DecisionForestTrainer<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
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~DecisionForestTrainer
()
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{}
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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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void
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DecisionForestTrainer<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::train
(
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pcl::DecisionForest<NodeType>
& forest)
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{
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for
(std::size_t tree_index = 0; tree_index < num_of_trees_to_train_; ++tree_index) {
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pcl::DecisionTree<NodeType>
tree;
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decision_tree_trainer_.train(tree);
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forest.push_back(tree);
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}
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}
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}
// namespace pcl
pcl::DecisionForest
Class representing a decision forest.
Definition
decision_forest.h:50
pcl::DecisionForestTrainer::~DecisionForestTrainer
virtual ~DecisionForestTrainer()
Destructor.
Definition
decision_forest_trainer.hpp:58
pcl::DecisionForestTrainer::train
void train(DecisionForest< NodeType > &forest)
Trains a decision forest using the set training data and settings.
Definition
decision_forest_trainer.hpp:67
pcl::DecisionForestTrainer::DecisionForestTrainer
DecisionForestTrainer()
Constructor.
Definition
decision_forest_trainer.hpp:48
pcl::DecisionTree
Class representing a decision tree.
Definition
decision_tree.h:49
pcl
Definition
convolution.h:46