logJoint.row(k) = mComponents[k]->logLikelihood(data) +log(mPriors[k]);// compute normalized posterior (E)logLik = logSumExp(logJoint);// average negative log-likelihood in bits per componentavgLogLossNew = -logLik.mean() /log(2.) / dim();if(parameters.verbosity >0)cout<< setw(...
out_mean = input.rowwise().mean(); temp = (input.colwise() - out_mean);for(intk=0;k<inputWeights.size();k++){ temp.col(k) *= (float)(sqrt(inputWeights(k)*wSumInv));//using square roots, as we only want the normalized weights to be included once for each result element in ...
// Column total month wise $(this).closest('tbody').find('.<?=$m?>').each(function () { y = parseInt($(this).val()); col_total += isNaN(y) ? 0 : y; }); $(this).closest('tbody').find('.col_Total<?=$m?>').val(col_total); So i have tr...
Numerical experiments on column-wise recurrence formula to compute fully normalized associated Legendre functions of ultra-high degree and order Article 21 December 2019 On the Computation of Recurrence Coefficients for Univariate Orthogonal Polynomials Article 20 July 2021 Improved Laguerre Spectral Met...
Critics at the time admired the fact that Farmer, a white author, normalized the characters’ Zimbabwean perspective, and honored the culture’s myths and religious beliefs. Fun facts: Farmer enlisted in the Peace Corps, and subsequently worked in Mozambique and Rhodesia (present-day Zimbabwe), ...
Create a Tally Function (fnTally) ScottPletcher SSC Guru Points: 101118 More actions May 4, 2020 at 6:19 pm #3748752 Like (0) An alternative is like below. Which performs better depends on total data volume and index(es) present: ...
/** * Apply the known norms on the provided (raw) features. * * @param features raw features, to be normalized in situ */ private void normalize (INDArray features) { features.subiRowVector(norms.means); features.diviRowVector(norms.stds); } Example...
The raw integrated density (RawIntDen) was determined for each ROI, normalized such that the highest value for each region equaled 100, and plotted independently on the graph, yielding a total of 24 data points per region per genotype. A Mann-Whitney U test was performed to examine ...
N.row(i) = v1.cross(v2);//.normalized();typenameDerivedV::Scalar r = N.row(i).norm();if(r ==0) { N.row(i) = Z; }else{ N.row(i) /= r; } } } 开发者ID:metorm,项目名称:libigl,代码行数:25,代码来源:per_face_normals.cpp ...
factor = (cValue*ploidy*avogadro)/mwWeightedNormalizedSummedHistoneIntensities;break;default: factor =1;break; } normalizationFactors[col] = factor; }// check averaging modeif(param.GetSingleChoiceWithSubParams("Averaging mode").Value ==1)// same factor for all{doublefactor = ArrayUtils.Mean(nor...