diff options
| author | Patrick Simianer <p@simianer.de> | 2014-02-06 10:26:29 +0100 |
|---|---|---|
| committer | Patrick Simianer <p@simianer.de> | 2014-02-06 10:26:29 +0100 |
| commit | 7bfe96c2a706d375362c054619f28dd40c7c33e8 (patch) | |
| tree | fb0698a3bcb4b38d99d7a07b87a573a571dd7be2 /training/mira | |
| parent | c83f665cb7efbbfb0fdfa12203b09ba60e365d25 (diff) | |
| parent | 3798fb9a43c27c3dfe0db5ee0dd0ef04bf5ee5f5 (diff) | |
Merge remote-tracking branch 'upstream/master'
Diffstat (limited to 'training/mira')
| -rw-r--r-- | training/mira/kbest_cut_mira.cc | 5 | ||||
| -rwxr-xr-x | training/mira/mira.py | 4 |
2 files changed, 5 insertions, 4 deletions
diff --git a/training/mira/kbest_cut_mira.cc b/training/mira/kbest_cut_mira.cc index 9de57f5f..62c770df 100644 --- a/training/mira/kbest_cut_mira.cc +++ b/training/mira/kbest_cut_mira.cc @@ -937,7 +937,8 @@ int main(int argc, char** argv) { //reload weights based on update dense_weights.clear(); lambdas.init_vector(&dense_weights); - ShowLargestFeatures(dense_weights); + if (dense_weights.size() < 500) + ShowLargestFeatures(dense_weights); dense_w_local = dense_weights; iter++; @@ -1004,7 +1005,7 @@ int main(int argc, char** argv) { if (!stream) { int node_id = rng->next() * 100000; cerr << " Writing weights to " << node_id << endl; - Weights::ShowLargestFeatures(dense_weights); + //Weights::ShowLargestFeatures(dense_weights); dots = 0; ostringstream os; os << weights_dir << "/weights.mira-pass" << (cur_pass < 10 ? "0" : "") << cur_pass << "." << node_id << ".gz"; diff --git a/training/mira/mira.py b/training/mira/mira.py index 1861da1a..0980ef2e 100755 --- a/training/mira/mira.py +++ b/training/mira/mira.py @@ -119,12 +119,12 @@ def main(): parser.add_argument('--metric-scale', type=int, default=1, metavar='N', help='scale MT loss by this amount when computing' ' hope/fear candidates') - parser.add_argument('-k', '--kbest-size', type=int, default=250, metavar='N', + parser.add_argument('-k', '--kbest-size', type=int, default=500, metavar='N', help='size of k-best list to extract from forest') parser.add_argument('--update-size', type=int, metavar='N', help='size of k-best list to use for update. defaults to ' 'equal kbest-size (applies to optimizer 5)') - parser.add_argument('--step-size', type=float, default=0.01, + parser.add_argument('--step-size', type=float, default=0.001, help='controls aggresiveness of update') parser.add_argument('--hope', type=int, default=1, choices=range(1,3), help='how to select hope candidate. options: ' |