bool RulesXmlHandler::startElement ( const QString & namespaceURI, const QString & localName, const QString & qName, const QXmlAttributes & atts )
{
Q_UNUSED( namespaceURI );
Q_UNUSED( localName );
_line++;
if( QString::compare( qName, "Rules", Qt::CaseInsensitive ) == 0 )
{
return createRootNode( atts );
}
if( QString::compare( qName, "Condition", Qt::CaseInsensitive ) == 0 )
{
return createConditionNode( atts );
}
if( QString::compare( qName, "Action", Qt::CaseInsensitive ) == 0 )
{
return createActionNode( atts );
}
if( QString::compare( qName, "Storage", Qt::CaseInsensitive ) == 0 )
{
return createStorageNode( atts );
}
if( QString::compare( qName, "Emotion", Qt::CaseInsensitive ) == 0 )
{
return createEmotionNode( atts );
}
if( QString::compare( qName, "DataMining", Qt::CaseInsensitive ) == 0 )
{
return createDataMiningNode( atts );
}
if( QString::compare( qName, "MathOperation", Qt::CaseInsensitive ) == 0 )
{
return createMathOperationNode( atts );
}
if( QString::compare( qName, "Property", Qt::CaseInsensitive ) == 0 )
{
return createPropertyNode( atts );
}
if( QString::compare( qName, "Delete", Qt::CaseInsensitive ) == 0 )
{
return createDeleteNode( atts );
}
if( QString::compare( qName, "ClearMemory", Qt::CaseInsensitive ) == 0 )
{
return createClearMemoryNode( atts );
}
if( QString::compare( qName, "Random", Qt::CaseInsensitive ) == 0 )
{
return createRandomNode( atts );
}
qDebug() << "[RulesXmlHandler::startElement] Invalid element" << qName;
return false;
}
//----------------------------------------------------------------------------
NodePtr create(const SampleVector& samples, unsigned int num_tests)
{
auto hist_samples = std::make_unique<HistogramType>(samples);
std::vector<SampleType> samples_left;
std::vector<SampleType> samples_right;
float max_info_gain = -0.1f;
NodePtr max_node;
for (unsigned int i = 0; i < num_tests; ++i)
{
NodePtr node(createRandomNode(m_log_stream));
samples_left.clear();
samples_right.clear();
//node->setThreshold(samples);
node->split(samples, samples_left, samples_right);
HistogramType hist_left(samples_left);
HistogramType hist_right(samples_right);
std::vector<HistogramType*> hist;
hist.push_back(&hist_left);
hist.push_back(&hist_right);
float infoGain = hist_samples->informationGain(hist);
*m_log_stream << ": IGain: " << infoGain << " / " << max_info_gain << ";" << i << ": " << samples_left.size() << "," << samples_right.size() << std::endl;
if (infoGain > max_info_gain)
{
max_info_gain = infoGain;
max_node = std::move(node);
}
}
max_node->setHistogram(std::move(hist_samples));
return max_node;
}
std::vector<Move> Solver::solve()
{
if (!isStable())
return std::vector<Move>();
for (int r = 0; r < 10; r++) {
std::vector<Move> currentNode = createRandomNode();
while (true) {
if (score(currentNode) == 0) {
return currentNode;
}
std::vector< std::vector<Move> > l = getNeighbors(currentNode);
int nextEval = -INF;
std::vector<Move> nextNode = std::vector<Move>();
for (int i = 0; i < (int) l.size(); i++) {
if (score(l[i]) > nextEval) {
nextNode = l[i];
nextEval = score(l[i]);
}
}
if (nextEval <= score(currentNode)) {
if (score(currentNode) > -3 * (int) blocks.size()) {
//print(currentNode);
return currentNode;
}
break;
}
currentNode = nextNode;
}
}
return std::vector<Move>();
}
