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Currently LightGBM does not appear to support 'quantile' loss metric. (This is a feature that can be found in sklearn's Gradient Boosting Regression http://scikit-learn.org/stable/auto_examples/ensemb…
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# Summary
I am trying to use Pycatet's create_model function to train a model.
But the error happens when I changed the code like here: #1456
# Steps to reproduce
Code snippet:
```
impo…
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Right now we have this in the GradientBoosting API page:
> [sklearn.ensemble.HistGradientBoostingClassifier](https://scikit-learn.org/dev/modules/generated/sklearn.ensemble.HistGradientBoostingClas…
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We may still be missing a few XGBoost parameters and also add them to the User Guide. The list is currently:
Here are some [general parameters|https://xgboost.readthedocs.io/en/latest//parameter.h…
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### 🔍 Before submitting the issue
- [X] I have searched among the existing issues
- [X] I am using a Python virtual environment
### 🐞 Description of the bug
After converting the attached journal to…
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I recently upgraded from xgboost==1.4.2 in Python to xgboost==1.7.4 in Python, and I'm trying to train XGBoost regression with `tree_method='hist'` on a dataset I was previously training on, but I not…
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Hello team,
I ran the code below and ran into a strange behavior, the fit method kills the Jupyter kernel.
```shell
import numpy as np
import pandas as pd
import lightgbm as lgb
from skl…
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While doing a walk-forward validation to assess the performances of my model, I specified the test set as validation set in the following way:
```
booster = xgb.train(params,
…
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Hello,
I installed LightGBM on my computer, which runs macOS Sierra, using gcc/g++ 6, but when I run it and monitor via htop, it doesn't use all the threads, even when I specify the number in the p…
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According to Marekn: the custom metric function works for GBM and DRF. However, we do not know if they work for the following algos:
1. GLM
2. GAM
3. Deeplearning
4. uplift models
5. isotonic …