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As requested by @rootfs, XGBoost model should be included in the pipeline as another non LR model for inference.
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hi,i am get a model from xgboost with python, and i use the model with your method,
but i get the same score for every in put data, if you method can use the model from xgboost with python ?
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I think it would be helpful to add a function to finalize all the workflows, so far something like this seems to work pretty well
```
#' Finalize Parameter Grid for a Single Workflow
#'
#' @par…
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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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The Data Department recently performed some model benchmarking ([ccao-data/report-model-benchmark](https://github.com/ccao-data/report-model-benchmark)) comparing the run times of XGBoost and LightGBM…
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My command:
```r
bamba_ret = bambu(
reads = bam_file,
annotations = gtf_file,
genome = fna_file,
quant = FALSE,
ncore = 8
)
```
The error:
```
Error: BiocParal…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Hello,
I would like to propose the addition of a Retail Price Optimization Machine Lear…
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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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I'm aware of the extended discussion in [#50](https://github.com/rstudio/bundle/issues/50) but I was still somewhat surprised that an xgboost model object after bundling & unbundling returns garbled v…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
XGBoost Strengths:
Optimized for speed and performance.
Works great with struc…