Kernel::Kernel(Kernel * kernel)
{
if(kernel->diagonalized == false)
{
this->kernel = new Matrix(kernel->kernel);
if(kernel->N != NULL)
{
this->N = new Matrix(kernel->N);
}
else
{
this->N = NULL;
}
this->eigenValues = NULL;
this->eigenVectors = NULL;
}
else
{
this->kernel = NULL;
this->N = NULL;
this->eigenValues = new Matrix(kernel->eigenValues);
this->eigenVectors = new Matrix(kernel->eigenVectors);
}
copyParameters(kernel);
this->genotypes = NULL;
this->covariates = NULL;
}
void particleFilter::parameterUpdate(double *parMin, double *parMax){
if (sampCount == sampFreq){
stochUniResampling(cumWeight,copies);
copyParameters();
perturbParameters(parMin, parMax);
resetCumWeight();
}
}
Kernel::Kernel(Kernel * kernel, KernelType createType, Genotype* genotype)
{
if( kernel->type == kernelGRM && createType == kernelEpistaticGRM && kernel->diagonalized == false )
{
kernel->normalize();
this->kernel = new Matrix(kernel->kernel);
this->N = NULL;
this->eigenValues = NULL;
this->eigenVectors = NULL;
copyParameters(kernel);
this->genotypes = NULL;
this->covariates = NULL;
this->kernel->elementWiseMultiplication(kernel->kernel);
this->type = kernelEpistaticGRM;
/*genotype->normalizeGenotypes();
Matrix * temp = new Matrix(genotype->genotypes);
temp->elementWiseMultiplication(genotype->genotypes);
Matrix * temp2 = new Matrix();
temp2->multiply(temp, 'T', temp, 'N');
temp2->symmetrizeTriangularMatrix();
delete temp;
temp = new Matrix(kernel->N);
temp->elementWiseMultiplication(kernel->N);
temp->symmetrizeTriangularMatrix();
temp2->elementWiseDivision(temp);
this->kernel->add(temp2, 0.5, -0.5); //After this substraction, the kernel have to be divided by 2. This can be arranged with the factors.
delete temp;
delete temp2;*/
}
else
{
misc.error("Error: An internal error was happened. A new kernel cannot be created using this types in src or dest kernels..", 0);
}
}
/*
* Assignment operator: copy neurons parameters.
*
* @param r_neurons Neurons class object to copy from.
*/
IAllNeurons &AllSpikingNeurons::operator=(const IAllNeurons &r_neurons)
{
copyParameters(dynamic_cast<const AllSpikingNeurons &>(r_neurons));
return (*this);
}
