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https://github.com/kubeflow/training-operator/blob/05badc6ee8a071400efe9019d8d60fc242818589/pkg/controller.v1/xgboost/xgboost.go#L74
Can we add Env var in initContainer?
for example, if we use dat…
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Short version:
{code:python}
/usr/local/lib/python3.6/dist-packages/h2o/model/metrics_base.py in auc(self)
191 def auc(self):
192 """The AUC for this set of metrics."""
--> …
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I have an old XGBClassifier model pickled to a file, which was created by xgboost 1.4.2, back when `use_label_encoder=True` was default.
It seems that onnxmltools does *not* support XGBClassifiers …
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Interaction constraints are extremely useful in practice. The API in LightGBM has two aspects that could be improved:
1. Currently, the Python package allows only integer positions like `[[0], [1, …
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1. python2 and python3
https://www.cnblogs.com/thunderLL/p/6643022.html
2. pip3 install xgboost报错，在这里下载了whl，然后D:\Program Files\Python\common>pip install xgboost-0.7-cp36-cp36m-win_amd64.whl，更新（还是没解决…
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In xgboost, there are several importance types, including weight’, ‘gain’, ‘cover’, ‘total_gain’, and ‘total_cover’. I wonder how rpart calculates importance score.
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The docs say
> Note that the get function treats underscores and hyphens identically
(https://docs.dask.org/en/stable/configuration.html)
Strictly speaking that's true, but it doesn't mean th…
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Both XGBoost and LightGBM support a "Random Forest" mode.
In XGBoost you set the `num_parallel_tree` parameter with `nrounds=1` (https://xgboost.readthedocs.io/en/latest/R-package/discoverYourDat…
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There are a number of parameters in H2O-XGBoost that have only the sklearn-xgboost alias (e.g. reg_alpha, reg_lambda), but the standard XGBoost parameter name is missing (e.g. alpha, lambda). We also…
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Hi Junaid,
I congratulate you for your work and efforts.
I had a problem with Feature Selection using Recursive Feature Elimination in part 15 of the code.
The error message is: **XGBoost version …