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https://github.com/arkajitmedya/mishmash/blob/master/XGboost.ipynb
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The benchmark on this page shows xgboost histogram on Bosch, but it is slower than a single thread of i7-7700HQ throttled to 2.8 GHz (which trains with even more data).
Number of threads should be …
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may you share , how you installed xgboost on windows, why yo use mingw?
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Hello everyone,
Local explanations with `eli5.explain_prediction` yields confusing results when applied to a XGBoost model.
Indeed, the sum of contributions (computed from all leaves value) does …
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**Describe the bug**
On a `LocalCUDACluster` with multiple GPUs, I am observing all Dask partitions to be allocated to GPU 0, causing XGBoost to error out. Weirdly, removing `import cuml` fixes the p…
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I know that the XGBoost package itself supports multithreading of the prediction task. Does this predictor implementation also support multithreading? If not, how could I go about adding it?
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During training the loss values are reported:
```
[ Info: XGBoost: starting training.
[ Info: [1] train-rmse:1.01477459966132155
[ Info: [2] train-rmse:0.90233272804303499
[ Info: [3] …
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### Issues Policy acknowledgement
- [X] I have read and agree to submit bug reports in accordance with the [issues policy](https://www.github.com/mlflow/mlflow/blob/master/ISSUE_POLICY.md)
### Willi…
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您好,在这里看到你写的关于xgboost做的survival analysis代码,正在学习,感觉很受启发,只是想问下训练的xgb model predict的结果(我看R xgboost package结果应该是 linear predictor)不明白为什么就是 f(x)(hazard ratio)? 这个是在哪里有说明呢?请您指教!!!
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Use library(xgboost) and library(randomForest) for applying the models