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Collecting git+https://github.com/AutoViML/Auto_ViML.git
Cloning https://github.com/AutoViML/Auto_ViML.git to /tmp/pip-req-build-hbrwfrj3
Running command git clone --filter=blob:none --quiet htt…
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## Description
Hi, I am using lightGBM to determine feature importances from an in-house dataset that is very sparse in nature. When training the model on this sparse dataset, I noticed that the trai…
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https://mp.weixin.qq.com/s/Js7_axZ3DIkHupoYpACZOA
ixxmu updated
9 months ago
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When I use dart as a booster I always get very poor performance in term of l2 result for regression task.
Even If I use small drop_rate = 0.01 or big like 0.3.
When I use dart in xgboost on same d…
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### What happened + What you expected to happen
When using MLForecast's fit/predict or cross validation routines together with a regression model like LightGBM, XGBoost etc., the id_col ('unique_id…
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_Please make sure to close the issue once you consider it as solved_
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**Error and context**
We wante…
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https://mp.weixin.qq.com/s/DeUGcRSX63GePhOxYs-PEA
ixxmu updated
5 months ago
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## I grouped the samples into several groups manually. I would like to force the tree to split more randomly in the group view.
For example, if I have 100 samples in 2 groups here, I prefer the…
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setting the init_score in an lgb.Dataset object doesn't appear to change anything. I expect that this should behave in a manner similar to xgboost's set_base_margin.
In particular, you can try tra…
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I am interested in this walkthrough:
* https://xgboost.readthedocs.io/en/latest/python/examples/quantile_regression.html#sphx-glr-python-examples-quantile-regression-py
However, I am unable to fin…