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We need to have a performance test suite in KFServing. Performance tests will help us identify potential bottlenecks and create reproducible resources for KFServing production users.
**Goa…
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When viewing multiple models over multiple series, the following problem occurs. When models are adjusted (or readjusted), in some cases (for example arima, ets, ..) they save details of the adjustmen…
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Hi,
I'm trying flaml on a new data set on a regression problem. I'm using version 0.10.0 . The following error also happens if I use classification. The dataset looks like this:
```csv
time , x…
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Reference: https://www.kaggle.com/general/17120
* using python:
http://www.analyticsvidhya.com/blog/2016/03/complete-guide-parameter-tuning-xgboost-with-codes-python/
* using R:
http://www.a…
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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…
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I can't seem to get shap.plots.force to work for the second plot on the readme (# visualize all the training set predictions)
This is the code I'm using and the error. Any help would be great.
Cod…
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### Issue Description
Given $x$ which is the sample that we wish to explain, we can compute the Shapley values of that sample using a background sample $x^b$. By providing the Explainer class with ba…
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I am trying to do a simple sklearn pipeline with a StandardScaler for the numerical values and a OneHotEncoder for the categorical.
As shown [here](https://onnx.ai/sklearn-onnx/auto_tutorial/plot_e…
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I have been using version v1.1.1 for some time now and have been able to successfully load large amounts of data (5-10 GB) into memory using XGBoost and DMatrix, as I have ample RAM to do so. However,…