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**Describe the bug**
When using the XGBoost estimator is script mode, user's are unable to provide custom tunable parameters in their script. It appears there is a check in the sdk (and boto3 below i…
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As discussed on Clojurians, I would like to use this issue to start describing some machine learning functionality that could be achieved with Onyx, and/or what such an API would look like.
### Sco…
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While trying to add support for XGBoost missing direction I realized that the way we handle missing values is not very clear (code&doc wise).
During logging we allow users to set `missing_as_zero` …
nomoa updated
2 years ago
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Dear grf team
Thanks for your great package.!
I have a research project for which feature_weights are essential. That is, i want to pass a non-neg vector of length the # of features, and the tree …
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Thanks for open-sourcing this package, and for providing the nice writeup at https://medium.com/applied-data-science/new-r-package-the-xgboost-explainer-51dd7d1aa211
Would it be possible to publish…
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This is the 2nd most popular model on Kaggle.
Thanks.
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We should set this up as a baseline.
It may be valuable to have this as a separate class that inherits `Tree` or `TreeClassifier`.
It should take parameters like the boosting learning rate etc.
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Hi, I want to use sklearn2pmml() function to convert a PMML file.
I created an issuse below, but I was not able to reopen it so I create this new issue and just copy the content again here.
https…
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there's a bug somewhere that's killing the accuracy.
scores on homesite and telstra are lagging dramatically behind what others are getting with xgboost alone.
my initial reaction was that we need…