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# Data, Code & Coffee - Opening the black box: Exploring xgboost models with {fastshap} in R
Being able to understand and explain why a model makes certain predictions is important, particularly if y…
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Because when I train a model the dataset is very large. But when predict there are small dataset and predict more than 1000 times,But xgboost_ray is slower than origin xgboost in predict,How can I sol…
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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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When creating KFservers such as xgboost the `modelName` is taken to be `metdata.Name`. The user then needs to specify this twice in an API call. For example, in the [xgboost sample](https://github.com…
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/kind feature
**Describe the solution you'd like**
This will solve the issue of transformer redundancy when the first or last node in the InferenceGraph has multiple models (in a splitter or ensem…
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Hi,
I am facing trouble building pgml from the source. I am following [the developer guide](https://postgresml.org/docs/guides/setup/developers). When I run the unit tests with `cargo pgrx test`, …
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**Context and question**
Hello everyone,
for a few days, when I run the BIOMOD_Modeling() function, the following error appears: in some models:
Error in x$formula : oggetto di tipo 'closure' n…
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This is due to how XGBoost handles the situation, and there's a JIRA here for that: [https://h2oai.atlassian.net/browse/PUBDEV-5755|https://h2oai.atlassian.net/browse/PUBDEV-5755]
However, we can als…
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when I load xgboost model return errs,model is trained for xgboost4j。
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The root discussion issue for Data analysis and transform is [here](https://github.com/sql-machine-learning/elasticdl/issues/1670).
**Transformation Requirements**
XGBoost model only accept the …