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tugstugi authored Oct 23, 2018
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Expand Up @@ -15,7 +15,8 @@ The final private LB score 0.892 was achieved by post processing on the model's

## Features

Our main improvement (+0.02 LB) comes from our symmetric extension of the [Lovasz loss](https://github.com/bermanmaxim/LovaszSoftmax) function:
* single model
* symmetric extension of the [Lovasz loss](https://github.com/bermanmaxim/LovaszSoftmax) function ((+0.02 private LB)):
```python
def symmetric_lovasz(outputs, targets):
return (lovasz_hinge(outputs, targets) + lovasz_hinge(-outputs, 1 - targets)) / 2
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