Skip to content

Supports finetuning mode. #42

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
innerNULL wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Supports finetuning mode. #42

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
21 changes: 19 additions & 2 deletions src/libfm/libfm.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -100,11 +100,12 @@ int main(int argc, char **argv) {

const std::string param_save_model = cmdline.registerParameter("save_model", "filename for writing the FM model");
const std::string param_load_model = cmdline.registerParameter("load_model", "filename for reading the FM model");

const std::string param_finetuning = cmdline.registerParameter("finetuning", "if finetuning mode, 1 for yes, 0 for not, default 0");
const std::string param_do_sampling = "do_sampling";
const std::string param_do_multilevel = "do_multilevel";
const std::string param_num_eval_cases = "num_eval_cases";


if (cmdline.hasParameter(param_help) || (argc == 1)) {
cmdline.print_help();
return 0;
Expand All @@ -118,6 +119,7 @@ int main(int argc, char **argv) {
if (! cmdline.hasParameter(param_method)) { cmdline.setValue(param_method, "mcmc"); }
if (! cmdline.hasParameter(param_init_stdev)) { cmdline.setValue(param_init_stdev, "0.1"); }
if (! cmdline.hasParameter(param_dim)) { cmdline.setValue(param_dim, "1,1,8"); }
if (! cmdline.hasParameter(param_finetuning)) { cmdline.setValue(param_finetuning, "0"); }

// Check for invalid flags.
if (! cmdline.getValue(param_method).compare("mcmc") && cmdline.hasParameter(param_save_model)) {
Expand All @@ -132,6 +134,13 @@ int main(int argc, char **argv) {
return 0;
}

if ((!cmdline.hasParameter(param_load_model))
&& (cmdline.getValue(param_finetuning) == "1")) {
std::cout << "WARNING: -finetuning disabled since no loading model." << std::endl;
cmdline.setValue(param_finetuning, "0");
return 0;
}

if (! cmdline.getValue(param_method).compare("als")) { // als is an mcmc without sampling and hyperparameter inference
cmdline.setValue(param_method, "mcmc");
if (! cmdline.hasParameter(param_do_sampling)) { cmdline.setValue(param_do_sampling, "0"); }
Expand Down Expand Up @@ -280,7 +289,15 @@ int main(int argc, char **argv) {
((fm_learn_sgd_element_adapt_reg*)fml)->validation = validation;

} else if (! cmdline.getValue(param_method).compare("mcmc")) {
fm.w.init_normal(fm.init_mean, fm.init_stdev);
if (cmdline.getValue(param_finetuning) != "1") {
std::cout << "WARNING: not finetuning mode. finetuning=" << cmdline.getValue(param_finetuning) << std::endl;
fm.w.init_normal(fm.init_mean, fm.init_stdev);
} else {
std::cout << "WARNING: finetuning mode. finetuning=" << cmdline.getValue(param_finetuning) << std::endl;
//std::cout << "DEBUG: debug finetune parameter" << std::endl;
//fm.saveModel("./last_model_0");
//return 0;
}
fml = new fm_learn_mcmc_simultaneous();
fml->validation = validation;
((fm_learn_mcmc*)fml)->num_iter = cmdline.getValue(param_num_iter, 100);
Expand Down