double CMT::MLR::evaluate(
const pair<ArrayXXd, ArrayXXd>& data,
const Preconditioner& preconditioner) const
{
return -logLikelihood(preconditioner(data.first, data.second)).mean() / log(2.)
- preconditioner.logJacobian(data).mean() / log(2.);
}
double CMT::MLR::evaluate(
const MatrixXd& input,
const MatrixXd& output,
const Preconditioner& preconditioner) const
{
return -logLikelihood(preconditioner(input, output)).mean() / log(2.)
- preconditioner.logJacobian(input, output).mean() / log(2.);
}