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I made a [bug report on Optuna](https://github.com/optuna/optuna/issues/3960) that could be from a problem further down the line, here.
**TL;DR**
Codes goes up to [_LIB.LGBM_BoosterCreate](https…
rabyj updated
2 years ago
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## Description
The variable cnt could be 0 in code below commented with // BUG:
```
// data_partition.hpp
void Split(int leaf, const Dataset* dataset, int feature,
const uint32_t* th…
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**Describe the bug**
Observing the error while calculating the ndcg scores
**[Fatal] Tree model should contain cat_threshold field for lgbm**
Not sure how in mmlspark inferences the value expec…
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I'm using mmlspark lgbm model for regression problem and faced strange thing. If using all normal code as in the example, results will be terrible, becouse predictions are huge (around 10^37 , while t…
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Hi all,
The n_estimators value on the best model (`automl.model`) provided by FLAML does not seem to be set correctly for CatBoostClassifiers.
Example code here:
```
from flaml import AutoML…
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### Supervised learning
- labeled data
- direct feedback
- predict outcome or future
-> "classification" "regression"
1) 일반화 선형 모델(GLM)
2) 의사결정트리(DT)
3) RANDOM FOREST
4) GBM/LGBM
5) DNN
…
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Hi,
I was keen to use this package since when I've tried to do conformal prediction using quantile regression in the past I've encountered the common issue of quantile forecast results not increas…
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I am training a lightGBM classifier on a dataset with 18 classes, ~ 2M rows and ~5900 columns. The data is pretty sparse (density ~ 15%). The class distribution is unbalanced.
```
lgbm = LightGBMCla…
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- Mentioned here:
https://www.kaggle.com/code/iamleonie/wids-datathon-2023-forecasting-with-lgbm
- Use GridSearch (?), WandB. Follow some tutorials and learn how to do it.
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## Build Information
Build: https://dev.azure.com/dnceng-public/cbb18261-c48f-4abb-8651-8cdcb5474649/_build/results?buildId=530980
Build error leg or test failing: Microsoft.ML.Tests.WorkItemExecuti…