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Remove redundant word

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YenChenLin 2016-01-07 22:19:15 +08:00
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@ -162,7 +162,7 @@ After we remove all the constants, the specific objective at step ``$t$`` become
This becomes our optimization goal for the new tree. One important advantage of this definition is that This becomes our optimization goal for the new tree. One important advantage of this definition is that
it only depends on ``$g_i$`` and ``$h_i$``. This is how xgboost can support custom loss functions. it only depends on ``$g_i$`` and ``$h_i$``. This is how xgboost can support custom loss functions.
We can optimize every loss function, including logistic regression, weighted logistic regression, using the exactly We can optimize every loss function, including logistic regression, weighted logistic regression, using exactly
the same solver that takes ``$g_i$`` and ``$h_i$`` as input! the same solver that takes ``$g_i$`` and ``$h_i$`` as input!
### Model Complexity ### Model Complexity