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### Current situation
We have the unfortunate situation to have 2 different versions of gradient boosting, the old estimators ([`GradientBoostingClassifier`](https://scikit-learn.org/stable/modules/g…
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https://lightgbm.readthedocs.io/en/latest/Parameters.html#linear_tree
https://github.com/microsoft/LightGBM/pull/3299
Possible depends on the following upstream issue: https://github.com/microsoft…
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**Description**
I'm encountering an error when installing ludwig[distributed] in a Jupyter Notebook environment running on a Dataproc cluster. The installation seems to proceed normally until it atte…
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Building a GBM model with a 33000 sources and 40 attributes training frame and these parameters:
{quote}
\{"model_id":"33k_GBM_MODEL","training_frame":"33K_frame","nfolds":0,"response_column":"CLASSI…
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**Describe the bug**
BrainVISA segfaults at start.
The bug seems to be related to new offline rendering feature on master branch.
The bug does not exists on 5.1 branch which works correctly on the…
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Hi! I'm sorry for abusing the issue system. I'm in the process of porting some code from this blog (the gradient boosting and xgboost from scratch implementations) to Go. The code is quite early/messy…
rmera updated
3 months ago
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This model is a new incorporation to the Ersilia Model Hub or it has been modified. If you are assigned to this issue, please try it out and ensure everything works!
To test a model, first clone it in…
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When I set `loss=quantile` and `alpha=0.9`, the result is still the same as the regression with `loss=ls`. I wonder if there are any other parameters to be set as well, or it is a bug.
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I'm thinking about implementing a (very simple, at least for now) gradient boosting. Any interest?
rmera updated
4 months ago
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Hi,
I was reading your gradient boosting implementation and I think that at the line
https://github.com/mblondel/ivalice/blob/master/ivalice/impl/gradient_boosting.py#L97 . I would do
```
di…