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Currently tempo has clients that talk to remote models. In order to introduce support for stream processing such as through Kafka, we would need to extend the current interfaces to support asynchronou…
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leaves does not support the sklearn xgboost model ?
I use the below python code to train one xgboost model, meet error when use the below API to load this model in go code
leaves.XGEnsembleFromFile…
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Hello RAPIDS Team,
I'm using FIL to get predictions from an XGBoost model (loaded from the standard XGBoost binary format). The model has been trained with early stopping.
If I were to use the …
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The fit function leads to a parameter error, maybe this has to do with different version of xgboost
```
Traceback (most recent call last):
File "/home/dnachbar/python/lightgbm/xgbrank.py", li…
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It seems that {{XGBoost.score()}} doesn't handle unlabeled test sets. I successfully built an XGBoost model on autodl-munged BNPParibas and it crashed when I called {{model.predict()}} on the test se…
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### Describe the feature you want to add to this project
Create model
### Describe your proposed solution
Dont forget about your code firstly
### Describe alternatives you've considered, if relev…
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@tonyyang-svail
I have some questions on xgboost model train and pred. In "sqlflow/python/sqlflow_submitter/xgboost/train.py", it saves the trained model locally via:
`bst.save_model("my_model")`
…
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XGBoost includes a `distribution` parameter. Unlike the options for this parameter in GBM and Deep Learning, the XGBoost `distribution` parameter does not accept the following options:
- laplace
-…
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### Oracle-ads version used
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://https://github.com/oracle/accel…
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` I am curious if YDF can support multilabel outcomes (not mutually exclusive outcomes, shared tree space)?`
per a comment in #118 and the response of @rstz
Since XGBoost offers this feature, i…