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Questions - lightgbm

why xgboost calculate the gradient only for n_estimators rounds?

Here, n_estimators means the number of trees（week learners）in xgboost. I define a custom objective functions where I have to calculate the first and second order gradients. And I also add a print func...
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olivia

xgboost

lightgbm

Votes: 0

Answers: 1

Latest Answer

Answer In both XGBoost and LightGBM, gradients are computed once at the beginning of each boosting round. Each tree is then built to try to explain the gradient based on candidate feature splits. You ...
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James Lamb

What is the categorical feature in the lightgbm?

Recently, I am studying the LightGBM, and found that we should determine which features are the categorical features? I know that for character class, they should belong to the categorical features, b...
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DavidK

r

lightgbm

Votes: 0

Answers: 0

Hyperparameter tuning with XGBRanker

I am trying to figure how to tune my hyperparameter through RandomizedSearchCV with an XGBRanker model. I could split the data into groups, feed it into the model and make predictions. However I am no...
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Gal

xgboost

ranking

hyperparameters

lightgbm

Votes: 0

Answers: 1

Latest Answer

i had tried something similar. for scoring however i used the ndcg_scorer from sklearn. i added scoring = sklearn.metrics.make_scorer(sklearn.metrics.ndcg_score, greater_is_better=True) for groups u ...
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Antulii

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