Update custom_metric_obj.rst (#6367)
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@ -45,6 +45,7 @@ namely prediction and labels. For implementing ``SLE``, we define:
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import numpy as np
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import numpy as np
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import xgboost as xgb
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import xgboost as xgb
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from typing import Tuple
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def gradient(predt: np.ndarray, dtrain: xgb.DMatrix) -> np.ndarray:
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def gradient(predt: np.ndarray, dtrain: xgb.DMatrix) -> np.ndarray:
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'''Compute the gradient squared log error.'''
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'''Compute the gradient squared log error.'''
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