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laptop:
CPU i5-5200U (4 cores, 2 HT)
8GB RAM
Windows
R CRAN xgboost
`nthread=1` (to use 1 CPU core)
10M records
10 trees
runs 71sec, AUC 0.726
2nd run 73sec
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Hi,
I noticed that XGBoost is available as a model but has not been fully implemented. Is there development progress that has been made that we could sync with? I'm willing to implement this feat…
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I get the following error when trying to generate the large-v3 quantized coreml model:
```
$ ./models/generate-coreml-model.sh large-v3-q5_0
scikit-learn version 1.3.0 is not supported. Minimum req…
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Monotonicity constraint is super useful when you have certain domain knowledge that "all else equal, a higher value in feature X should increase or decrease output Y". This is implemented in most fram…
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In the POJO of h2o xgboost, I noticed that actually there is a coefficient acting as the 'weight' of each tree. For example, the POJO of a model looks like:
class XGBoost_model_R_160218545645_1_Tre…
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With xgboost 1.2 and current master on dask-ml, passing in `DaskXGBClassifier()` to `RandomizedSearchCV` fails due to `fit_and_score` receiving numpy arrays instead of dask arrays.
I'm still trying…
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In the example below, I want to create a bin for each decile of the model prediction. I found that the first several deciles are grouped together in the bin: (0.0,0.001]
{code:R}
df
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2020-05-30 19:33:31 WARN TaskSetManager:66 - Lost task 0.0 in stage 0.0 (TID 0, 192.168.1.200, executor 0): java.lang.UnsatisfiedLinkError: ai.rapids.cudf.Table.gdfReadCSV([Ljava/lang/String;[Ljava/l…
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-edit This is now a more generic 'how do we handle maintaining older blog posts' ticket
Is there an account that has maintained envs for optuna-xgboost? This does not work otherwise @ian-r-rose
…
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Hello below error keeps killing my executors when trying count:poisson regression
## Environment info
Operating System: Databricks Runtime 4.1 ML
XGBoost included in the runtime: 4.1 ML Beta (in…