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Hi, I am recently conducting some numerical experiments for a new tree boosting trick. I designed a simple example for robust regression, in which there are three data points involved: (1.2, 1.5, 2.…
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Thank you very much for this awesome work!
Is it possible to have a list of all the possible Classifiers and Regressors that TPOT's model search space consists of in a classification and regression…
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Its my first time with eli5 and i have only problems...
Thanks to one issue here i could solve the first one, but now there is another
I fitted a XGboost regression (with GPU usage) and then tri…
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Hi there,
Thanks for providing such a great repo!
@trivialfis
I am using XGBoost for a binary classification task, and I need an approach to calculate uncertainty estimations.
I saw an issue a…
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Hello below error keeps killing my executors when trying count:poisson regression
## Environment info
Operating System: Databricks Runtime 4.1 ML
XGBoost included in the runtime: 4.1 ML Beta (in…
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Hi and thanks for a great package!
I have two small questions.
1) What would it require to implement a beta-distribution to fit fractions or probabilities?
2) I see that a very similar libr…
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Hi Villu,
I saw you still had some work to do to address the smaller model I sent you. Thank you.
I made an attempt to do the huge PMML (178MB) and I am getting the following error:
```
…
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Microsoft pre-released the Explainable Boosting Machine 2 weeks ago:
https://github.com/microsoft/interpret
It has very promising performance profile
| Dataset/AUROC | Domain | Logistic Regr…
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Improve the description of pipeline.
from this:
```
>>> from evalml import AutoMLSearch
>>> automl = AutoMLSearch(X_train=Xy_3.drop(columns='target'), y_train=Xy_3.loc[:,'target'],
…
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Hello, I noticed that the "GPU Support" section of the XGBoost documentation has recently been updated to exclude the table of objective functions with GPU implementations.
From the previous docum…