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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Features for diabetes prediction include glucose level, insulin level, BMI, age, blood pre…
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- PyTorch-Forecasting version: 1.0.0
- PyTorch version: torch==2.2.1
- Python version: 3.10.14
- Operating System: Linux 6.5.0-35-generic, Ubuntu 22.04, x86_64 GNU/Linux
### Expected behavior
…
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I used my custom dataset to train your model, and I want to add depth map loss supervisor to increase the accuracy.
My depth map custom dataset has range from [0,1000] (meters).
I want to know what…
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### 🚀 The feature, motivation and pitch
I propose the addition of a conformal prediction framework to the PyTorch library. This framework would include the implementation of split conformal predictio…
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### Describe the issue linked to the documentation
link: https://auto.gluon.ai/stable/tutorials/timeseries/forecasting-metrics.html
> AutoGluon will use the provided metric to tune model hyperpara…
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Is it normal that these parameters are all "None"? The default values ​​were not used when training the model, and the prediction results were greatly deviat
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ed.
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### Describe the issue
Move the https://github.com/onnx/models/issues/659 here:
All squeezenet 1.0 models from https://github.com/onnx/models/tree/main/validated/vision/classification/squeezenet…
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Is it possible to use a predictive model for generating depth maps? If so, what are some recommended approaches or models that can effectively predict depth information from images or video sequences?
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Thanks for your code. Could you please provide the pretrained model and prediction maps on the four benchmark datasets (i.e., CAMO, CHAMELEON, COD10K and NC4k)
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### Is your feature request related to a problem? Please describe.
Amazon, as a leading e-commerce platform, handles an enormous volume of sales data across a wide range of product categories. Extrac…