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Yizhou Chi 2024-09-03 14:03:07 +08:00
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expo/README.md
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@ -42,11 +42,7 @@ ## 3. Evaluation
运行各个框架，运行后框架需要提供Dev和Test的`dev_predictions.csv`和`test_predictions.csv`， column name为target
两种评估方式
1. `evaluation.py` 提供pred和原始的gt（1D iterable）以及需要使用的metric，返回evaluation score
2. 使用`CustomExperimenter`
- 使用`CustomExperimenter`
```
experimenter = CustomExperimenter(task="titanic")
score_dict = experimenter.evaluate_pred_files(dev_pred_path, test_pred_path)