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### System Info
L4 GPU
GPU memory: 24 GB
TensorRT LLM version: v0.10.0
container used: tritonserver:24.06-trtllm-python-py3
### Who can help?
@byshiue @schetlur-nv
### Information
- [X] The …
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Hi,
I noticed that the TreeExplainer only supports sklearn, xgboost, lightgbm, and catboost models, is there anyway to introduce a Tree ensemble other than the supported models ?
I am currently …
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What is the best way to implement model ensembling per time step in Tensorflow? Models are ensembled by averaging the output probabilities at each decoding step. Is there a way to do this using `raw_r…
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The models should be able to be driven in both a single run and an ensemble mode e.g.
```python
with MAGICC7 as magicc:
results = magicc.run(rcp26) # default is single run
results_ens =…
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We currently do not have a nice print method for Stacked Ensemble models in R. We can make use of the ensemble@model$model_summary info: https://github.com/h2oai/h2o-3/commit/7906280685279be696ef077a…
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We currently have less data for training Machine Learning models. I suggest that we try these approaches and compare the performance:
1. Bootstrapping to augment the data, and training models on this…
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Once I have correcly deployed my model on a triton server, once I try to send a request:
`curl -X POST localhost:8000/v2/models/ensemble/generate -d '{"text_input": "What is machine learning?", "ma…
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Even if there isn't a Node, we should be able to just create a slider for an Ensemble, and it would act just like a direct Node input to that Ensemble. This would simplify a lot of models by avoiding…
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After training Compete mode, I'm getting this error when trying to load the model
```
automl = AutoML(mode='Compete', results_path=model_path, total_time_limit=24*3600, eval_metric=sign_penalty)
…
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Hi! I am trying to ensemble two YOLOv9-E models but error occurs as follows:
```
YOLO 🚀 v0.1-60-g4cf2226 Python-3.9.18 torch-2.2.0+cu118 CUDA:0 (NVIDIA RTX A6000, 48677MiB)
Fusing layers...
y…