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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2018-08-31 10:18:20 -0700 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-08-31 10:25:57 -0700 |
| commit | ec7c5bf160c5216b322b65a298b1f83aae1c7d32 (patch) | |
| tree | 78ee328c63119224b0a7b5b1078a31ec0c2c3018 /tensorflow/core/kernels/sdca_internal.cc | |
| parent | fd008b3905d9a3f453f1180413440dcdf41f54f3 (diff) | |
More robust test of the SDCA ComputeUpdatedDual method.
This exposed a sign error in the logistic loss and an error in the residual computation of the adaptive sampling algorithm.
PiperOrigin-RevId: 211103287
Diffstat (limited to 'tensorflow/core/kernels/sdca_internal.cc')
| -rw-r--r-- | tensorflow/core/kernels/sdca_internal.cc | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/core/kernels/sdca_internal.cc b/tensorflow/core/kernels/sdca_internal.cc index 1c071d3d41..a8e9b3261c 100644 --- a/tensorflow/core/kernels/sdca_internal.cc +++ b/tensorflow/core/kernels/sdca_internal.cc @@ -251,7 +251,7 @@ Status Examples::SampleAdaptiveProbabilities( num_weight_vectors); const double kappa = example_state_data(example_id, 0) + loss_updater->PrimalLossDerivative( - example_statistics.wx[0], label, example_weight); + example_statistics.wx[0], label, 1.0); probabilities_[example_id] = example_weight * sqrt(examples_[example_id].squared_norm_ + regularization.symmetric_l2() * |