Searched refs:current_dual (Results 1 – 7 of 7) sorted by relevance
/external/tensorflow/tensorflow/core/kernels/ |
D | smooth-hinge-loss.h | 35 const double current_dual, const double wx, in ComputeUpdatedDual() argument 44 current_dual + in ComputeUpdatedDual() 45 (label - wx - gamma * current_dual) / in ComputeUpdatedDual() 56 double ComputeDualLoss(const double current_dual, const double example_label, in ComputeDualLoss() argument 60 const double y_alpha = current_dual * example_label; // y \alpha in ComputeDualLoss() 64 return (-y_alpha + 0.5 * gamma * current_dual * current_dual) * in ComputeDualLoss()
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D | poisson-loss.h | 31 const double current_dual, const double wx, in ComputeUpdatedDual() argument 38 const double y_minus_a = label - current_dual; in ComputeUpdatedDual() 42 weighted_example_norm, current_dual); in ComputeUpdatedDual() 49 double ComputeDualLoss(const double current_dual, const double example_label, in ComputeDualLoss() argument 54 const double y_minus_a = example_label - current_dual; in ComputeDualLoss() 96 const double current_dual) const { in NewtonStep() argument 100 example_weight * (label - current_dual - expx); in NewtonStep()
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D | squared-loss.h | 34 const double current_dual, const double wx, in ComputeUpdatedDual() argument 36 const double delta_numerator = label - current_dual - wx; in ComputeUpdatedDual() 39 return current_dual + delta_numerator / delta_denominator; in ComputeUpdatedDual() 44 double ComputeDualLoss(const double current_dual, const double example_label, in ComputeDualLoss() argument 48 return current_dual * (0.5 * current_dual - example_label) * example_weight; in ComputeDualLoss()
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D | logistic-loss.h | 33 const double current_dual, const double wx, in ComputeUpdatedDual() argument 41 weighted_example_norm, current_dual); in ComputeUpdatedDual() 48 double ComputeDualLoss(const double current_dual, const double example_label, in ComputeDualLoss() argument 52 const double ay = current_dual * example_label; in ComputeDualLoss() 119 const double current_dual) const { in NewtonStep() argument 124 (0.5 * (1 + tanhx) / label - current_dual); in NewtonStep()
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D | hinge-loss.h | 44 const double current_dual, const double wx, in ComputeUpdatedDual() argument 53 current_dual + (label - wx) / (num_loss_partitions * example_weight * in ComputeUpdatedDual() 75 double ComputeDualLoss(const double current_dual, const double example_label, in ComputeDualLoss() argument 79 const double y_alpha = current_dual * example_label; // y \alpha in ComputeDualLoss()
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D | loss.h | 31 const double example_weight, const double current_dual, const double wx, 36 virtual double ComputeDualLoss(const double current_dual,
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D | loss_test.cc | 40 const double current_dual, const double wx, in TestComputeUpdatedDual() argument 43 num_loss_partitions, label, example_weight, current_dual, wx, in TestComputeUpdatedDual() 46 double new_wx = wx + (new_dual - current_dual) * num_loss_partitions * in TestComputeUpdatedDual()
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