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| author | Patrick Simianer <p@simianer.de> | 2014-02-28 14:09:55 +0100 |
|---|---|---|
| committer | Patrick Simianer <p@simianer.de> | 2014-02-28 14:09:55 +0100 |
| commit | 739a8cd9a92ee10411e352e1677235a8c39ba8b3 (patch) | |
| tree | 6ea4e6994d0a8c9fb9750f25f2694f5388a4dfe8 /training/mira | |
| parent | ab71c44e61d00c788e84b44156d0be16191e267d (diff) | |
| parent | 5675965782e2c9201a7a2fe54b542f5b06d660ef (diff) | |
Merge remote-tracking branch 'upstream/master'
Diffstat (limited to 'training/mira')
| -rw-r--r-- | training/mira/kbest_cut_mira.cc | 4 | ||||
| -rwxr-xr-x | training/mira/mira.py | 2 |
2 files changed, 3 insertions, 3 deletions
diff --git a/training/mira/kbest_cut_mira.cc b/training/mira/kbest_cut_mira.cc index 62c770df..cde65332 100644 --- a/training/mira/kbest_cut_mira.cc +++ b/training/mira/kbest_cut_mira.cc @@ -82,14 +82,14 @@ bool InitCommandLine(int argc, char** argv, po::variables_map* conf) { ("optimizer,o",po::value<int>()->default_value(1), "Optimizer (SGD=1, PA MIRA w/Delta=2, Cutting Plane MIRA=3, PA MIRA=4, Triple nbest list MIRA=5)") ("fear,f",po::value<int>()->default_value(1), "Fear selection (model-cost=1, maxcost=2, maxscore=3)") ("hope,h",po::value<int>()->default_value(1), "Hope selection (model+cost=1, mincost=2)") - ("max_step_size,C", po::value<double>()->default_value(0.01), "regularization strength (C)") + ("max_step_size,C", po::value<double>()->default_value(0.001), "regularization strength (C)") ("random_seed,S", po::value<uint32_t>(), "Random seed (if not specified, /dev/random will be used)") ("mt_metric_scale,s", po::value<double>()->default_value(1.0), "Amount to scale MT loss function by") ("sent_approx,a", "Use smoothed sentence-level BLEU score for approximate scoring") ("pseudo_doc,e", "Use pseudo-document BLEU score for approximate scoring") ("no_reweight,d","Do not reweight forest for cutting plane") ("no_select,n", "Do not use selection heuristic") - ("k_best_size,k", po::value<int>()->default_value(250), "Size of hypothesis list to search for oracles") + ("k_best_size,k", po::value<int>()->default_value(500), "Size of hypothesis list to search for oracles") ("update_k_best,b", po::value<int>()->default_value(1), "Size of good, bad lists to perform update with") ("unique_k_best,u", "Unique k-best translation list") ("stream,t", "Stream mode (used for realtime)") diff --git a/training/mira/mira.py b/training/mira/mira.py index 0980ef2e..539a0b0e 100755 --- a/training/mira/mira.py +++ b/training/mira/mira.py @@ -244,7 +244,7 @@ def evaluate(testset, weights, ini, script_dir, out_dir): evaluator = '{}/../utils/decode-and-evaluate.pl'.format(script_dir) try: p = subprocess.Popen([evaluator, '-c', ini, '-w', weights, '-i', testset, - '-d', out_dir], stdout=subprocess.PIPE) + '-d', out_dir, '--jobs', args.jobs], stdout=subprocess.PIPE) results, err = p.communicate() bleu, results = results.split('\n',1) except subprocess.CalledProcessError: |