/**
* Called after an iteration has finished.
*/
void after_iteration(int iteration, graphchi_context &gcontext) {
svdpp.itmFctrStep *= svdpp.step_dec;
svdpp.itmFctr2Step *= svdpp.step_dec;
svdpp.usrFctrStep *= svdpp.step_dec;
svdpp.itmBiasStep *= svdpp.step_dec;
svdpp.usrBiasStep *= svdpp.step_dec;
training_rmse(iteration, gcontext);
validation_rmse(&svdpp_predict, gcontext);
}
/**
* Called after an iteration has finished.
*/
void after_iteration(int iteration, graphchi_context &gcontext) {
if (iteration == pmf_burn_in){
printf("Finished burn-in period. starting to aggregate samples\n");
}
if (pmf_additional_output && iiter >= pmf_burn_in){
char buf[256];
sprintf(buf, "%s-%d", training.c_str(), iiter-pmf_burn_in);
output_pmf_result(buf);
}
double res = training_rmse(iteration, gcontext);
sample_hyperpriors(res);
rmse_index = 0;
rmse_type = VALIDATION;
validation_rmse(&pmf_predict, gcontext, 3, &validation_avgprod, pmf_burn_in);
if (iteration >= pmf_burn_in){
rmse_index = 0;
rmse_type = TEST;
test_predictions(&pmf_predict, &gcontext, iiter == niters-1, &test_avgprod);
}
iiter++;
}
/**
* Called after an iteration has finished.
*/
void after_iteration(int iteration, graphchi_context &gcontext) {
sgd_gamma *= sgd_step_dec;
training_rmse(iteration, gcontext);
run_validation(pvalidation_engine, gcontext);
/* std::vector<double> lbo (D,0);
std::vector<double> rbo (D,1);
double copy[N];
for(int j = 0; j < D; j++)
{
for(unsigned int i = M; i < M + N; i++)
copy[i - M] = latent_factors_inmem.at(i).pvec[j];
std::sort(copy, copy+N);
lbo.at(j) = copy[0];
rbo.at(j) = copy[N-1];
}
std::cout << "left bound: (";
for(int i = 0; i < D; i++)
std::cout << lbo.at(i) << ", ";
std::cout << "). right bound: (";
for(int i = 0; i < D; i++)
std::cout << rbo.at(i) << ", ";
std::cout << ")." << std::endl;*/
}
/**
* Called after an iteration has finished.
*/
void after_iteration(int iteration, graphchi_context &gcontext) {
sgd_gamma *= sgd_step_dec;
training_rmse(iteration, gcontext);
run_validation(pvalidation_engine, gcontext);
}
/**
* Called after an iteration has finished.
*/
void after_iteration(int iteration, graphchi_context &gcontext) {
training_rmse(iteration, gcontext);
run_validation4(pvalidation_engine, gcontext);
}
/**
* Called after an iteration has finished.
*/
void after_iteration(int iteration, CE_Graph_context &gcontext) {
biassgd_gamma *= biassgd_step_dec;
training_rmse(iteration, gcontext);
run_validation(pvalidation_engine, gcontext);
}
/**
* Called after an iteration has finished.
*/
void after_iteration(int iteration, graphchi_context &gcontext) {
libfm_rate *= libfm_mult_dec;
training_rmse(iteration, gcontext);
run_validation4(pvalidation_engine, gcontext);
};
void after_iteration(int iteration, graphchi_context &gcontext) {
training_rmse(iteration, gcontext, algo == ITEM_MEAN);
validation_rmse(&baseline_predict, gcontext);
}
