diff options
Diffstat (limited to 'training/mpi_online_optimize.cc')
| -rw-r--r-- | training/mpi_online_optimize.cc | 17 |
1 files changed, 16 insertions, 1 deletions
diff --git a/training/mpi_online_optimize.cc b/training/mpi_online_optimize.cc index 325ba030..32033c19 100644 --- a/training/mpi_online_optimize.cc +++ b/training/mpi_online_optimize.cc @@ -64,6 +64,7 @@ bool InitCommandLine(int argc, char** argv, po::variables_map* conf) { po::options_description opts("Configuration options"); opts.add_options() ("input_weights,w",po::value<string>(),"Input feature weights file") + ("frozen_features,z",po::value<string>(), "List of features not to optimize") ("training_data,t",po::value<string>(),"Training data corpus") ("training_agenda,a",po::value<string>(), "Text file listing a series of configuration files and the number of iterations to train using each configuration successively") ("minibatch_size_per_proc,s", po::value<unsigned>()->default_value(5), "Number of training instances evaluated per processor in each minibatch") @@ -254,6 +255,20 @@ int main(int argc, char** argv) { if (conf.count("input_weights")) weights.InitFromFile(conf["input_weights"].as<string>()); + vector<int> frozen_fids; + if (conf.count("frozen_features")) { + ReadFile rf(conf["frozen_features"].as<string>()); + istream& in = *rf.stream(); + string line; + while(in) { + getline(in, line); + if (line.empty()) continue; + if (line[0] == ' ' || line[line.size() - 1] == ' ') { line = Trim(line); } + frozen_fids.push_back(FD::Convert(line)); + } + if (rank == 0) cerr << "Freezing " << frozen_fids.size() << " features.\n"; + } + vector<string> corpus; vector<int> ids; ReadTrainingCorpus(conf["training_data"].as<string>(), rank, size, &corpus, &ids); @@ -284,7 +299,7 @@ int main(int argc, char** argv) { const string omethod = conf["optimization_method"].as<string>(); if (omethod == "sgd") { const double C = conf["regularization_strength"].as<double>(); - o.reset(new CumulativeL1OnlineOptimizer(lr, total_corpus_size, C)); + o.reset(new CumulativeL1OnlineOptimizer(lr, total_corpus_size, C, frozen_fids)); } else { assert(!"fail"); } |