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**Description**
I am currently using triton vllm backend for my kubernetes cluster. There are 2 GPUs that Triton is able to see, however it seems to only choose GPU 0 to load the model weights
I h…
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I am planning on submitting several PRs in an attempt to merge #5041 in slowly, with the ultimate goal being a clean implementation of multithreaded decision tree building so that Gradient Boosting ca…
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Dear SHAP authors and contributors,
### Introduction
In this issue, I claim that SHAP Tree algorithm presents a **strong issue** that breaks a **fundamental property** of Shapley values, the **sym…
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I've implemented GradientBoost and a more efficient version of AdaBoost that interface with `treeregressor` and `treeclassifier` and am now looking to port them to the light-weight front facing struct…
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1. “步骤1：部署SecretFlow-Serving”自己创建serving空间，又指示“我们这里使用 'examples' 目录下的模型包作为示例文件然后将其放置在 “serving” 目录下”，这里的模型包指什么呢？serving仓库里的模型包吗？
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2. 按照1.5创建`docker-compose.yaml`文件时，voluems部分的三个config文件的地址对…
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Are you open to expanding the functionality of GBRT to return feature importances for each class in a multinomial model, rather than just the sum importances over the entire model? E.g.,
```
def m…
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# Consider the Decision Tree | Random Realizations
Understand the core strengths and weaknesses of the decision tree, and see how ensembling makes trees shine.
[https://blog.mattbowers.dev/consider-…
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Collaborative effort of the @neurodata lab, under the directions of @jovo.
### Describe the workflow you want to enable
The current `sklearn.tree` module is designed for batch learning only and …
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Hi,
Tree SHAP seems to work great on boosted tree models like XGBoost. But after reading the paper on [Consistent feature attribution for tree ensembles](https://arxiv.org/abs/1706.06060) I'm wonde…
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# Short Question Description
Is auto-sklearn ensemble for classification using predict_proba + threshold adaptions?
I read the original paper and read about the unique way auto-sklearn makes use o…