BloombergVector BloombergVector::operator+(double a) const{
    Q_D(const BloombergVector);
	BloombergVector ResultVector(*this);
    for (int i = 0; i<d->m_VectVal.size(); i++) {
        ResultVector.d_func()->m_VectVal[i] += a;
	}
	ResultVector.RepackVector();
	return ResultVector;
}
SampleStatisticsEngine::ResultVector SampleStatisticsEngine::runOnBatch(const Bundle& bundle)
{
    auto& input = bundle["inputActivations"].get<matrix::MatrixVector>().front();

    util::log("SampleStatisticsEngine") << "Computing sample statistics over "
        << input.size().product() <<  " elements...\n";

    for(auto element : input)
    {
        _samples += 1.0;

        double delta = element - _mean;

        _mean = _mean + delta / _samples;

        _sumOfSquaresOfDifferences += delta * (element - _mean);
    }

    util::log("SampleStatisticsEngine") << " mean " << _mean << ", sum of squares of differences "
        << _sumOfSquaresOfDifferences << ", samples " << _samples << "\n";

    return ResultVector();
}
Exemple #3
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vector<double> zeros( unsigned int n )
{
	vector<double> ResultVector(n,0);
	//printf("Success, VECTOR of size %d created with zeroes.\n",n);	
	return ResultVector;
}