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408 lines
10 KiB
C++
408 lines
10 KiB
C++
// Ryzom - MMORPG Framework <http://dev.ryzom.com/projects/ryzom/>
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// Copyright (C) 2010 Winch Gate Property Limited
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//
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// This program is free software: you can redistribute it and/or modify
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// it under the terms of the GNU Affero General Public License as
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// published by the Free Software Foundation, either version 3 of the
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// License, or (at your option) any later version.
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//
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// This program is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU Affero General Public License for more details.
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//
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// You should have received a copy of the GNU Affero General Public License
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// along with this program. If not, see <http://www.gnu.org/licenses/>.
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#include <valarray>
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#include <map>
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#include <stdio.h>
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#include <iostream>
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#include <algorithm>
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#include "tree.h"
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#include "cond_node.h"
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#include "result_node.h"
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CTree::CTree()
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{
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_RootNode = NULL;
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}
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CTree::~CTree()
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{
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if ( _RootNode != NULL )
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delete _RootNode;
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}
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void CTree::setKey(int key)
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{
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_Key = key;
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}
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int CTree::getKey()
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{
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return _Key;
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}
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bool CTree::getOutput(CRecord *input)
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{
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if ( _RootNode != NULL )
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return _RootNode->propagRecord( input );
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else
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return false;
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}
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int CTree::getNbRecords(std::vector<CRecord *> &records,int key, IValue *value) //
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{
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int nb = 0;
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std::vector<CRecord *>::iterator it_r = records.begin();
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while ( it_r != records.end() )
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{
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if ( *((**it_r)[key]) == value )
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nb++;
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it_r++;
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}
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return nb;
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}
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double CTree::log2(double val) const
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{
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return (log(val) / log(2.0));
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}
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double CTree::entropy(double a, double b) const
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{
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double p1;
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double p2;
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if ( a > 0 )
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p1 = a * log2(a);
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else
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p1 = 0;
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if ( b > 0 )
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p2 = b * log2(b);
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else
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p2 = 0;
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return ( p1 + p2 ) * -1;
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}
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double CTree::entropy(std::vector<double> &p) const
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{
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double result = 0;
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std::vector<double>::iterator it_p = p.begin();
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while ( it_p != p.end() )
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{
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double val = *it_p;
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if ( val > 0 )
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result = result + val * log2( val );
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it_p++;
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}
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return result * -1;
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}
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double CTree::gain(std::vector<CRecord *> &records, int attrib, CField *field)
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{
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int nb_values = (int)field->getPossibleValues().size();
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int nb_records = (int)records.size();
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CValue<bool> bool_true(true);
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double nb_key_true = getNbRecords(records, _Key, &bool_true );
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double nb_key_false = nb_records - nb_key_true;
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double entropy_records = entropy( nb_key_true / nb_records, nb_key_false / nb_records );
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double gain = entropy_records;
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int i;
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for ( i = 0; i < nb_values; i++ )
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{
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IValue *val = field->getPossibleValues()[i];
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int nb_records_val, nb_records_notval;
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splitRecords(records, attrib, val, nb_records_val, nb_records_notval );
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int nb_records_val_key, nb_records_val_notkey;
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splitRecords(records, attrib, val, true, nb_records_val_key, nb_records_val_notkey );
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double entropy_val = entropy( ((double)nb_records_val_key) / ((double)nb_records_val), ((double)nb_records_val_notkey) / ((double)nb_records_val) );
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gain = gain - ( ( (double)nb_records_val ) / ( (double) nb_records ) * entropy_val );
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}
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return gain;
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}
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std::vector<std::pair<double,int> > CTree::getSortedFields( std::vector<int> &attributes, std::vector<CRecord *> &records, std::vector<CField *> &fields )
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{
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std::vector<std::pair<double,int> > attribs;
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if ( ! records.empty() )
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{
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std::vector<int>::iterator it_a = attributes.begin();
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while ( it_a != attributes.end() )
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{
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if ( (*it_a) != _Key )
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attribs.push_back( std::pair<double,int>( gain(records, (*it_a), fields[*it_a] ) , (*it_a) ) );
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it_a++;
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}
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}
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// Sorts the records by gain
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std::sort(attribs.begin(), attribs.end(), greater() );
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std::vector<std::pair<double,int> >::iterator it_f = attribs.begin();
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std::cout << "Attributes(gain) :" << std::endl;
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while ( it_f != attribs.end() )
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{
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std::cout << " " << fields[ (*it_f).second ]->getName() << " (" << (*it_f).first << ") " << std::endl;
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it_f++;
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}
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std::cout << std::endl;
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return attribs;
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}
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// Looks for the attrib with the most gain
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int CTree::getBestAttrib( std::vector<int> &attributes, std::vector<CRecord *> &records, std::vector<CField *> &fields )
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{
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double tmp_gain;
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double max_gain = 0;
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int best_attrib = -1;
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std::cout << "Attributes(gain) :" << std::endl;
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if ( ! records.empty() )
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{
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std::vector<int>::iterator it_a = attributes.begin();
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while ( it_a != attributes.end() )
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{
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if ( (*it_a) != _Key )
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{
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tmp_gain = gain( records, *it_a, fields[ *it_a ] );
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std::cout << " " << fields[ *it_a ]->getName() << " (" << tmp_gain << ") " << std::endl;
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if ( tmp_gain >= max_gain )
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{
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max_gain = tmp_gain;
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best_attrib = *it_a;
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}
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}
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it_a++;
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}
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}
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return best_attrib;
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}
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void CTree::rebuild(std::vector<CRecord *> &records, std::vector<CField *> &fields)
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{
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std::vector<int> left_fields;
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CRecord *first = *records.begin();
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for (int i = 0; i < first->size(); i++ )
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if ( i != _Key )
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left_fields.push_back( i );
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_RootNode = ID3( left_fields, records, fields );
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}
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float CTree::findNumKeyValue(std::vector<CRecord *> &records, int key)
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{
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float sum_true = 0;
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float nb_true = 0;
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float sum_false = 0;
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float nb_false = 0;
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std::vector<CRecord *>::iterator it_r = records.begin();
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while ( it_r != records.end() )
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{
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bool result = ((CValue<bool> *)(**it_r)[ _Key ])->getValue();
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if ( result == true )
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{
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sum_true += ((CValue<int> *)(**it_r)[ key ])->getValue();
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nb_true ++;
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}
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else
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{
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sum_false += ((CValue<int> *)(**it_r)[ key ])->getValue();
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nb_false ++;
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}
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it_r++;
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}
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return ( sum_true / nb_true + sum_false / nb_false ) / 2;
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}
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std::string CTree::getDebugString(std::vector<CRecord *> &records, std::vector<CField *> &fields)
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{
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std::string output;
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output += "CTree KEY = ";
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output += fields[ _Key ]->getName();
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return output;
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}
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INode *CTree::ID3(std::vector<int> &attributes, std::vector<CRecord *> &records, std::vector<CField *> &fields)
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{
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if ( records.empty() )
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{
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return new CResultNode( false );
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}
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else
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{
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// If there is no attribute left and the records don't have the same key value,
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// returns a result node with the most frequent key value
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if ( attributes.empty() )
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{
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int nb_key_true;
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int nb_key_false;
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splitRecords( records, _Key , nb_key_true, nb_key_false );
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if ( nb_key_true > nb_key_false )
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return new CResultNode( true );
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else
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return new CResultNode( false );
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}
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// Tests if all records have the same key value, if so returns a result node with this key value.
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int nb_records = (int)records.size();
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int nb_key_true;
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int nb_key_false;
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splitRecords( records, _Key , nb_key_true, nb_key_false );
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if ( nb_key_true == nb_records )
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return new CResultNode( true );
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if ( nb_key_false == nb_records )
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return new CResultNode( false );
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// Gets the attribute with the most gain for the current record set,
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// and recursively builds the subnodes corresponding to each
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// possible value for this attribute.
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int best_gain_attrib = getBestAttrib( attributes, records, fields );
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std::vector< std::vector<CRecord *> > sorted_records;
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splitRecords( records, best_gain_attrib, fields, sorted_records ); // classifies the records depending on the value of the best gain attribute
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std::vector<int> new_attribs;
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for ( int i = 0; i < (int) attributes.size(); i++ ) // Creates a new attributes list from the current attributes list with the best gain attribute removed
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if ( attributes[i] != best_gain_attrib )
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new_attribs.push_back( attributes[i] );
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ICondNode *root_node = fields[best_gain_attrib]->createNode(_Key, best_gain_attrib, records);
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std::vector< std::vector<CRecord *> >::iterator it = sorted_records.begin(); // Constructs subnodes recursively
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while ( it != sorted_records.end() )
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{
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root_node->addNode( ID3( new_attribs, *it, fields ) );
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it++;
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}
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return root_node;
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}
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}
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std::vector<CRecord *> CTree::getRecords(std::vector<CRecord *> &records, int attrib, bool value)
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{
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std::vector<CRecord *> result;
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std::vector<CRecord *>::iterator it_r = records.begin();
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while ( it_r != records.end() )
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{
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if ( ((CValue<bool> *)(**it_r)[attrib])->getValue() == value )
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result.push_back( *it_r );
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it_r++;
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}
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return result;
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}
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void CTree::splitRecords(std::vector<CRecord *> &records, int attrib, int &true_records, int &false_records) //
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{
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true_records = 0;
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false_records = 0;
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std::vector<CRecord *>::iterator it_r = records.begin();
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while ( it_r != records.end() )
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{
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if ( ((CValue<bool> *)(**it_r)[attrib])->getValue() == true )
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true_records++;
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else
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false_records++;
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it_r++;
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}
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}
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void CTree::splitRecords(std::vector<CRecord *> &records, int attrib, IValue *val, int &true_records, int &false_records) //
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{
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true_records = 0;
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false_records = 0;
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std::vector<CRecord *>::iterator it_r = records.begin();
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while ( it_r != records.end() )
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{
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const IValue *left_val = (**it_r)[ attrib ];
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if ( ( *left_val ) == val )
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true_records++;
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else
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false_records++;
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it_r++;
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}
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}
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// count records with a certain value for an attrib and true or false for the key attrib
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void CTree::splitRecords(std::vector<CRecord *> &records, int attrib, IValue *val, bool key, int &true_records, int &false_records) //
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{
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true_records = 0;
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false_records = 0;
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std::vector<CRecord *>::iterator it_r = records.begin();
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while ( it_r != records.end() )
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{
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if ( (* ( (**it_r)[attrib] ) ) == val )
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{
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if ( ( (CValue<bool> *) (**it_r)[ _Key ] )->getValue() == key )
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true_records++;
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else
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false_records++;
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}
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it_r++;
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}
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}
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// Sorts records according to the possibles values for an attribute.
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void CTree::splitRecords( std::vector<CRecord *> &records, int attrib, std::vector<CField *> &fields, std::vector< std::vector<CRecord *> > &result) //
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{
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if ( result.size() < fields[attrib]->getPossibleValues().size() )
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{
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int nb_missing = (int)(fields[attrib]->getPossibleValues().size() - result.size());
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for (int i = 0; i <= nb_missing; i++ )
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{
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result.push_back( std::vector<CRecord *>() );
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}
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}
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std::vector<CRecord *>::iterator it_r = records.begin();
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while ( it_r != records.end() )
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{
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std::vector<IValue *>::const_iterator it_vp = fields[attrib]->getPossibleValues().begin();
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std::vector< std::vector<CRecord *> >::iterator it = result.begin();
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int id_val = 0;
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while ( it_vp != fields[attrib]->getPossibleValues().end() )
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{
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const IValue *left_value = (**it_r)[attrib];
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IValue *right_value = *it_vp;
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if ( (*left_value) == right_value )
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(*it).push_back( *it_r );
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it_vp++;
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it++;
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}
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it_r++;
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}
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}
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