Searched refs:feature_value (Results 1 – 6 of 6) sorted by relevance
61 int16_t feature_value, in WebRtcVad_FindMinimum() argument96 if (feature_value < smallest_values[7]) { in WebRtcVad_FindMinimum()97 if (feature_value < smallest_values[3]) { in WebRtcVad_FindMinimum()98 if (feature_value < smallest_values[1]) { in WebRtcVad_FindMinimum()99 if (feature_value < smallest_values[0]) { in WebRtcVad_FindMinimum()104 } else if (feature_value < smallest_values[2]) { in WebRtcVad_FindMinimum()109 } else if (feature_value < smallest_values[5]) { in WebRtcVad_FindMinimum()110 if (feature_value < smallest_values[4]) { in WebRtcVad_FindMinimum()115 } else if (feature_value < smallest_values[6]) { in WebRtcVad_FindMinimum()120 } else if (feature_value < smallest_values[15]) { in WebRtcVad_FindMinimum()[all …]
53 int16_t feature_value,
69 const double feature_value = in UpdateSparseDeltaWeights() local74 feature_value * normalized_bounded_dual_delta[l]; in UpdateSparseDeltaWeights()171 const double feature_value = sparse_features.values == nullptr in ComputeWxAndWeightedExampleNorm() local180 feature_value * regularization.Shrink(sparse_weight); in ComputeWxAndWeightedExampleNorm()181 result.wx[l] += feature_value * regularization.Shrink(feature_weight); in ComputeWxAndWeightedExampleNorm()525 const double feature_value = sparse_features.values == nullptr in ComputeSquaredNormPerExample() local528 squared_norm += feature_value * feature_value; in ComputeSquaredNormPerExample()
120 def _createTFExampleString(self, feature_name, feature_value): argument124 feature_value])264 feature_value = 2.0265 example = self._createTFExampleString(feature_name, feature_value)270 self.assertNear(feature_value, output, 0.00001)
177 const FeatureValue feature_value = feature_vector.value(fi); in ConcatEmbeddings() local180 FloatFeatureValue float_feature_value(feature_value); in ConcatEmbeddings()185 feature_id = feature_value; in ConcatEmbeddings()
1360 const int32 feature_value = feature(i, feature_dim); in Compute() local1362 (feature_value == -1) ? num_buckets_ : feature_value; in Compute()