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fix: try plotting as much info in xgboost tensorboard as possible
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@@ -46,10 +46,8 @@ class TensorBoardCallback(BaseTensorBoardCallback):
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for data, metric in evals_log.items():
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for metric_name, log in metric.items():
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score = log[-1][0] if isinstance(log[-1], tuple) else log[-1]
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if data == "train":
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self.writer.add_scalar("train_loss", score, epoch)
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else:
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self.writer.add_scalar("valid_loss", score, epoch)
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key = self._get_key(data, metric_name)
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self.writer.add_scalar(f"{key}_loss", score, epoch)
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return False
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