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KNNHeap.h
浏览该文件的文档.
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/*
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* Copyright (c) The Shogun Machine Learning Toolbox
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* Written (w) 2014 Parijat Mazumdar
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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 are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
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* ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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* The views and conclusions contained in the software and documentation are those
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* of the authors and should not be interpreted as representing official policies,
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* either expressed or implied, of the Shogun Development Team.
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*/
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#ifndef _KNNHEAP_H__
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#define _KNNHEAP_H__
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#include <
shogun/lib/config.h
>
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#include <
shogun/lib/SGVector.h
>
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namespace
shogun
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{
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class
CKNNHeap
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{
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public
:
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CKNNHeap
(int32_t k=1);
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~CKNNHeap
() { };
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void
push
(
index_t
index,
float64_t
dist);
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float64_t
get_max_dist
() {
return
m_dists[0]; }
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index_t
get_max_index
() {
return
m_inds[0]; }
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SGVector<float64_t>
get_dists
();
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SGVector<index_t>
get_indices
();
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private
:
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SGVector<float64_t>
m_dists;
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SGVector<index_t>
m_inds;
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int32_t m_capacity;
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bool
m_sorted;
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};
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}
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#endif
/* KNNHEAP */
shogun::CKNNHeap::push
void push(index_t index, float64_t dist)
Definition:
KNNHeap.cpp:51
shogun::CKNNHeap::get_indices
SGVector< index_t > get_indices()
Definition:
KNNHeap.cpp:123
index_t
int32_t index_t
Definition:
common.h:62
config.h
shogun::CKNNHeap::~CKNNHeap
~CKNNHeap()
Definition:
KNNHeap.h:57
float64_t
double float64_t
Definition:
common.h:50
shogun::CKNNHeap::CKNNHeap
CKNNHeap(int32_t k=1)
Definition:
KNNHeap.cpp:37
shogun::SGVector< float64_t >
shogun::CKNNHeap::get_max_index
index_t get_max_index()
Definition:
KNNHeap.h:76
shogun::CKNNHeap::get_dists
SGVector< float64_t > get_dists()
Definition:
KNNHeap.cpp:100
SGVector.h
shogun::CKNNHeap::get_max_dist
float64_t get_max_dist()
Definition:
KNNHeap.h:70
shogun::CKNNHeap
This class implements a specialized version of max heap structure. This heap specializes in storing t...
Definition:
KNNHeap.h:47
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