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  /frameworks/ml/bordeaux/learning/stochastic_linear_ranker/native/
stochastic_linear_ranker.cpp 28 const double learning_rate,
51 final_learning_rate = learning_rate;
80 double learning_rate = learning_rate_controller_.GetLearningRate(); local
83 UpdateSubGradient(positive, negative, learning_rate,
90 UpdateSubGradient(positive, negative, learning_rate,
96 UpdateSubGradient(positive, current_negative_, learning_rate,
stochastic_linear_ranker.h 236 const double learning_rate,
  /external/chromium_org/third_party/libjingle/source/talk/base/
rollingaccumulator.h 92 // Weights nth sample with weight (learning_rate)^n. Learning_rate should be
94 T ComputeWeightedMean(double learning_rate) const {
95 if (count_ < 1 || learning_rate <= 0.0 || learning_rate >= 1.0) {
103 current_weight *= learning_rate;

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