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**Problem Description:**
The project aims to predict whether diabetic patients will be readmitted to the hospital within 30 days of discharge. Many hospitals struggle with managing diabetes properly,…
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Hi,
thanks for the great package it almost always works like charm.
We recently update from python 3.10 to 3.11 and XGBoost from 1.7.6 to 2.0.3 and are now getting an error when using unscaled…
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Could you please integrate the XGBoost library to Juno?
https://xgboost.readthedocs.io/en/latest/python/index.html
This is not pure python library so I can not include it by myself.
This library …
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Hey DCP participants, good to see you here
This issue will helps readers in giving all the guidance that one needs to learn about XGBoost. Tutorial to XGBoost and how it's applied using sample code…
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here is log from training
```
:28: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joini…
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We run 14 xgboost in spark in parallel, but it throw out below error. it looks like the heap memory is coruppted. Do you know what's the issue? when we run single training model, there's no such error…
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When instantiating the XGBoost estimator using a custom gamma parameter, the following error is thrown:
TypeError: 'dict_values' object is not subscriptable
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We are currently using xgboost 1.6.2 and are trying to upgrade to 2.1.1. On the way through the versions, we observed the following prediction time averages:
1.6.2: 15ms
1.7.6: 17ms
2.0.3: 43ms
…
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Hi,
I found an issue with xgboost example
https://github.com/thesps/conifer/blob/master/examples/xgboost_to_hls.py
`y_hls` and `y_xgb` aren't close
```
y_hls = expit(model.decision_function…
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`use_xgboost()` only uses 6 of the 8 possible tuning parameters (i.e. `mtry` and `stop_iter` are not `tune()`d).
Is that a deliberate choice (if so, could/should be documented?) or an oversight?
Or…