Searched refs:w_ (Results 1 - 3 of 3) sorted by relevance

/frameworks/ml/bordeaux/learning/stochastic_linear_ranker/native/
H A Dsparse_weight_vector.cpp38 for (Witer_const iter = w_.begin();
39 iter != w_.end();
52 for (Witer_const iter = w1.w_.begin();
53 iter != w1.w_.end();
55 w_[iter->first] += ((multiplier * iter->second) / w1.normalizer_
66 for (Witer_const iter = w1.w_.begin();
67 iter != w1.w_.end();
69 w_[iter->first] += ((multiplier * iter->second * iter->second) /
81 for (Witer_const iter = w1.w_.begin();
82 iter != w1.w_
[all...]
H A Dsparse_weight_vector.h53 w_ = other.w_;
102 GetValue(w_, fname, &val);
107 w_[fname] = val;
110 w_[fname] += val;
113 w_[fname] *= val;
117 w_.clear();
118 w_.insert(vec.w_.begin(), vec.w_
168 Wmap w_; member in class:learning_stochastic_linear::SparseWeightVector
[all...]
/frameworks/ml/bordeaux/learning/stochastic_linear_ranker/jni/
H A Djni_stochastic_linear_ranker.cpp54 SparseWeightVector<string>::Wmap w_ = sample->GetMap(); local
56 for ( SparseWeightVector<string>::Witer_const iter = w_.begin();
57 iter != w_.end(); ++iter) {

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