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| author | Chris Dyer <cdyer@allegro.clab.cs.cmu.edu> | 2013-11-10 01:46:28 -0500 | 
|---|---|---|
| committer | Chris Dyer <cdyer@allegro.clab.cs.cmu.edu> | 2013-11-10 01:46:28 -0500 | 
| commit | 1e9afb904a57ff0b03edd0e94d634ef98e7d4b2a (patch) | |
| tree | 24aef25a92bbef43224c6c4c8a082d0256b70640 /training/latent_svm | |
| parent | da179c9cbe92d93c5e7bfb1dbe1b3bec2c7791b9 (diff) | |
fix for c++11
Diffstat (limited to 'training/latent_svm')
| -rw-r--r-- | training/latent_svm/latent_svm.cc | 13 | 
1 files changed, 6 insertions, 7 deletions
diff --git a/training/latent_svm/latent_svm.cc b/training/latent_svm/latent_svm.cc index ab9c1d5d..60e52550 100644 --- a/training/latent_svm/latent_svm.cc +++ b/training/latent_svm/latent_svm.cc @@ -32,7 +32,6 @@ total_loss and prev_loss actually refer not to loss, but the metric (usually BLE  #include "sampler.h"  using namespace std; -using boost::shared_ptr;  namespace po = boost::program_options;  bool invert_score;  @@ -128,7 +127,7 @@ struct HypothesisInfo {  };  struct GoodOracle { -  shared_ptr<HypothesisInfo> good; +  boost::shared_ptr<HypothesisInfo> good;  };  struct TrainingObserver : public DecoderObserver { @@ -143,9 +142,9 @@ struct TrainingObserver : public DecoderObserver {    const DocScorer& ds;    const vector<weight_t>& feature_weights;    vector<GoodOracle>& oracles; -  shared_ptr<HypothesisInfo> cur_best; -  shared_ptr<HypothesisInfo> cur_costaug_best; -  shared_ptr<HypothesisInfo> cur_ref;  +  boost::shared_ptr<HypothesisInfo> cur_best; +  boost::shared_ptr<HypothesisInfo> cur_costaug_best; +  boost::shared_ptr<HypothesisInfo> cur_ref;     const int kbest_size;    const double mt_metric_scale;    const double mu; @@ -168,8 +167,8 @@ struct TrainingObserver : public DecoderObserver {      UpdateOracles(smeta.GetSentenceID(), *hg);    } -  shared_ptr<HypothesisInfo> MakeHypothesisInfo(const SparseVector<double>& feats, const double metric) { -    shared_ptr<HypothesisInfo> h(new HypothesisInfo); +  boost::shared_ptr<HypothesisInfo> MakeHypothesisInfo(const SparseVector<double>& feats, const double metric) { +    boost::shared_ptr<HypothesisInfo> h(new HypothesisInfo);      h->features = feats;      h->mt_metric_score = metric;      return h;  | 
