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I was playing around with: https://github.com/unit8co/darts
They provide a very simple interface to use the latest models with super simple install.
Features to potentially include to the termin…
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The code I use is as follows:
![1659581964728](https://user-images.githubusercontent.com/55540371/182753600-8797dc0e-3e2c-4d27-bd6d-ca1082adc9df.jpg)
An error is as follows:
08-04 10:57:12 E hype…
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**Is your feature request related to a current problem? Please describe.**
A clear and concise description of what the problem is.
When using weights and biases it is not possible to log the topol…
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When I pip install the keras version. The system installed the tensorlow with cpu version. How can I install the gpu version?
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I want to calculate flops and params of each model, I tried thop and ptflops in the NBEATs Model but nothing can be calculate....
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**Describe the bug**
I wanted to copletely suppress the output of model creation and fitting, when I discovered a bug when I re-run the cell of forecaster creation when using a callback in `pl_traine…
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**Is your feature request related to a current problem? Please describe.**
A clear and concise description of what the problem is.
Wanting to train a model based on energy consumption of different…
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Hi, any idea to solve this issue. I used custom dataset and tried to mimic this [code](https://github.com/Nixtla/neuralforecast/blob/main/nbs/models_nbeats__nbeats.ipynb) but it return error as follow…
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For **NBeatsModel**, if **generic_architecture** is True, then **num_stacks** input from user is not valid any more as we have below code:
```
if not generic_architecture:
self.num_stacks …
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Update: Additional questions
- Your data pipeline seems quite non-traditional for me. At each training step, you randomly sample `256` windows from one time series as model input. A training epoch …