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## Description
We've been having issues with segfaults and crashes when training LambdaMART models with LightGBM inside Docker containers. Sometimes when the container starts up and loads LightGBM ev…
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Hi sir,
I have a multi-class classification model generated from lightgbm, but I can not use treelite to export its. Here goes the error:
```
Check failed: !average_output_ Ill-formed LightGBM mode…
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Hello,
I'm thinking about adding a plot.BTM function to my BTM package using ggraph. BTM is good for clustering text (https://cran.r-project.org/web/packages/BTM/index.html).
In order to have a go…
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Based on the common used dataset, say MQ2008, the 5-fold CV performance of in-built lambdarank is:
nDCG@1:0.4319, nDCG@3:0.4574, nDCG@5:0.4953, nDCG@10:0.5844
By setting the hessian with constan…
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I do the follow step:
1. download the generate_dataset
2. python evaluation/scripts/generate_data.py evaluation/click_model/user_browsing_model_0.1_1_4_1.json to generate train and test data
3. run…
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Is there any documentation on how to use LightGBMRanker on spark ? specifically, how to set the query data as non-spark version of LightGBMRanker used a very special rule:that is [12,10,....]
means…
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Hi, tks for your work which is very significant. As I said above, how can I use GridSearchCV module in sklearn to tune parameters automatically? I looked up some ways, for example, inheriting classed…
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“rank:pairwise” –set XGBoost to do ranking task by minimizing the pairwise loss
do u mean this? Since lambdamart is a listwise approach, how can i fit it to listwise ranking? including commond, param…
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