void MDDAGClassifier::run(const string& dataFileName, const string& shypFileName,
int numIterations, const string& outResFileName, int numRanksEnclosed)
{
InputData* pData = loadInputData(dataFileName, shypFileName);
if (_verbose > 0)
cout << "Loading strong hypothesis..." << flush;
// The class that loads the weak hypotheses
UnSerialization us;
// Where to put the weak hypotheses
vector<BaseLearner*> weakHypotheses;
// loads them
us.loadHypotheses(shypFileName, weakHypotheses, pData);
// where the results go
vector< ExampleResults* > results;
if (_verbose > 0)
cout << "Classifying..." << flush;
// get the results
computeResults( pData, weakHypotheses, results, numIterations );
const int numClasses = pData->getNumClasses();
if (_verbose > 0)
{
// well.. if verbose = 0 no results are displayed! :)
cout << "Done!" << endl;
vector< vector<float> > rankedError(numRanksEnclosed);
// Get the per-class error for the numRanksEnclosed-th ranks
for (int i = 0; i < numRanksEnclosed; ++i)
getClassError( pData, results, rankedError[i], i );
// output it
cout << endl;
cout << "Error Summary" << endl;
cout << "=============" << endl;
for ( int l = 0; l < numClasses; ++l )
{
// first rank (winner): rankedError[0]
cout << "Class '" << pData->getClassMap().getNameFromIdx(l) << "': "
<< setprecision(4) << rankedError[0][l] * 100 << "%";
// output the others on its side
if (numRanksEnclosed > 1 && _verbose > 1)
{
cout << " (";
for (int i = 1; i < numRanksEnclosed; ++i)
cout << " " << i+1 << ":[" << setprecision(4) << rankedError[i][l] * 100 << "%]";
cout << " )";
}
cout << endl;
}
// the overall error
cout << "\n--> Overall Error: "
<< setprecision(4) << getOverallError(pData, results, 0) * 100 << "%";
// output the others on its side
if (numRanksEnclosed > 1 && _verbose > 1)
{
cout << " (";
for (int i = 1; i < numRanksEnclosed; ++i)
cout << " " << i+1 << ":[" << setprecision(4) << getOverallError(pData, results, i) * 100 << "%]";
cout << " )";
}
cout << endl;
} // verbose
// If asked output the results
if ( !outResFileName.empty() )
{
const int numExamples = pData->getNumExamples();
ofstream outRes(outResFileName.c_str());
outRes << "Instance" << '\t' << "Forecast" << '\t' << "Labels" << '\n';
string exampleName;
for (int i = 0; i < numExamples; ++i)
{
// output the name if it exists, otherwise the number
// of the example
exampleName = pData->getExampleName(i);
if ( exampleName.empty() )
outRes << i << '\t';
else
outRes << exampleName << '\t';
// output the predicted class
outRes << pData->getClassMap().getNameFromIdx( results[i]->getWinner().first ) << '\t';
outRes << '|';
vector<Label>& labels = pData->getLabels(i);
for (vector<Label>::iterator lIt=labels.begin(); lIt != labels.end(); ++lIt) {
if (lIt->y>0)
{
outRes << ' ' << pData->getClassMap().getNameFromIdx(lIt->idx);
}
}
outRes << endl;
}
if (_verbose > 0)
cout << "\nPredictions written on file <" << outResFileName << ">!" << endl;
}
// delete the input data file
if (pData)
delete pData;
vector<ExampleResults*>::iterator it;
for (it = results.begin(); it != results.end(); ++it)
delete (*it);
}
void MDDAGClassifier::saveCalibratedPosteriors(const string& dataFileName, const string& shypFileName,
const string& outFileName, int numIterations)
{
InputData* pData = loadInputData(dataFileName, shypFileName);
if (_verbose > 0)
cout << "Loading strong hypothesis..." << flush;
// The class that loads the weak hypotheses
UnSerialization us;
// Where to put the weak hypotheses
vector<BaseLearner*> weakHypotheses;
// loads them
us.loadHypotheses(shypFileName, weakHypotheses, pData);
// where the results go
vector< ExampleResults* > results;
if (_verbose > 0)
cout << "Classifying..." << flush;
// get the results
computeResults( pData, weakHypotheses, results, numIterations );
const int numClasses = pData->getNumClasses();
const int numExamples = pData->getNumExamples();
ofstream outFile(outFileName.c_str());
string exampleName;
if (_verbose > 0)
cout << "Output posteriors..." << flush;
for (int i = 0; i < numExamples; ++i)
{
// output the name if it exists, otherwise the number
// of the example
exampleName = pData->getExampleName(i);
if ( !exampleName.empty() )
outFile << exampleName << ',';
// output the posteriors
outFile << results[i]->getVotesVector()[0];
for (int l = 1; l < numClasses; ++l)
outFile << ',' << results[i]->getVotesVector()[l];
outFile << '\n';
}
if (_verbose > 0)
cout << "Done!" << endl;
if (_verbose > 1)
{
cout << "\nClass order (You can change it in the header of the data file):" << endl;
for (int l = 0; l < numClasses; ++l)
cout << "- " << pData->getClassMap().getNameFromIdx(l) << endl;
}
// delete the input data file
if (pData)
delete pData;
vector<ExampleResults*>::iterator it;
for (it = results.begin(); it != results.end(); ++it)
delete (*it);
}
