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:bug: Your bug may already be reported!
Please search on the [issue tracker](https://github.com/NCAR/DART/issues) before creating a new issue.
### Describe the bug
This came up when reviewing t…
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**Description**
I am testing sending data received as output from one model as input to my python backend to post process (I will eventually do an ensemble later)
The problem I am having is that t…
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The variety of mdels plays an important role in model ensemble. I tried some parameters such as "colsample_bytree, colsample_bynode" to make model more stable and different, but trees still grow by so…
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Hi,
I've been trying to run the leave one out tests for this tool, but I'm not getting the same level of performance that you report in the paper. I think this is because as it's set up at the mom…
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I'm not sure why this happened. I installed using the regular Windows installer, I'm on Windows 11. Here's the output from the error log:
`Last Error Received:
Process: MDX-Net
Missing file…
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Last Error Received:
Process: VR Architecture
If this error persists, please contact the developers with the error details.
Raw Error Details:
MemoryError: "Unable to allocate 3.01 GiB for…
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Last Error Received:
Process: VR Architecture
If this error persists, please contact the developers with the error details.
Raw Error Details:
UnpicklingError: "invalid load key, '\x00'."
…
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### System Info
- CPU architecture: x86_64
- GPU: 1 x Nvidia A100
- Docker image for LLM serialization: nvidia/cuda:12.1.0-devel-ubuntu22.04
- Docker image for triton server launch: nvcr.io/nvid…
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I use a simple NN model and gradient_descent_mse_ensemble to train the kernel as follows:
init_fn, apply_fn, kernel_fn = stax.serial(
stax.Dense(512), stax.Relu(),
stax.Dense(512), stax.Relu…
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some mistake the original paper‘s peers models share the same low——level feature
according to your code，it seems like you simply ensemble the different models built in different arcitecture with inde…