Searched refs:normalizer_ (Results 1 - 2 of 2) sorted by relevance

/frameworks/ml/bordeaux/learning/stochastic_linear_ranker/native/
H A Dsparse_weight_vector.cpp30 // Max/Min permitted values of normalizer_ for preventing under/overflows.
36 if (isnan(normalizer_) || __isinff(normalizer_))
55 w_[iter->first] += ((multiplier * iter->second) / w1.normalizer_
56 + additive_const) * normalizer_;
70 (w1.normalizer_ * w1.normalizer_)
71 + additive_const) * normalizer_;
85 w_[iter->first] += ((multiplier * sqrt(w1.normalizer_)) /
87 + additive_const) * normalizer_;
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H A Dsparse_weight_vector.h19 // a normalizer_. All operations assume that (name, value/normalizer_) is the
42 normalizer_ = 1.0;
55 normalizer_ = other.normalizer_;
69 return normalizer_;
72 normalizer_ = norm;
75 normalizer_ = normalizer_ * mul;
78 normalizer_
172 double normalizer_; member in class:learning_stochastic_linear::SparseWeightVector
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