2 votes

In lightgbm,what is a uniform drop?

From the xgboost documentation https://xgboost.readthedocs.io/en/stable/tutorials/dart.html. Vinayak and Gilad-Bachrach proposed a new method to add dropout techniques from the deep neural net ...
user2974951's user avatar
2 votes
Accepted

How to assign sample weight for regression problem

Yes, you pass a sample_weight to the LGBMRegressor().fit() method. See documentation on LGBMRegressor, section Methods:
Anvar Kurmukov's user avatar
2 votes

Gradient boosting Regression with zero-inflated outcome

I have been dealing with exactly the same situation but with even more rare non-zero events from marketing conversions. I have a few tips, but I don't feel I have really settled the best practices so ...
Carl24k's user avatar
  • 21
1 vote
Accepted

SHAP values are explaining the wrong output value

In the latest lgbm version, predict does not output raw scores, instead it outputs probabilities for binary classification task. The above code will work without using logits if model_output is ...
Abhay Gupta's user avatar
1 vote

Is there a way to focus mainly on high precision when fitting a tree model?

During training you can place "more emphasis" on a given class (or sample) by either: class weights to weight the error associated to a given class. There are usually used to balance the ...
Luca Anzalone's user avatar
1 vote

randomness in lightgbm model training

What can be the other factors adding randomness to the training process that I did not notice? By "adding randomness to the training process", I'm assuming that you mean things that could ...
James Lamb's user avatar
1 vote

Why the order of the fearures affects synapse LightGBM predictions?

the order of the features ... affect the predictions of the model LightGBM's model representation refers to features by their positional index. When passing in data to generate predictions, that data ...
James Lamb's user avatar

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