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Love darts! I have a problem that I can't wrap my head around, though. The out-of-sample performance of global models seems to be quite poor when compared to univariate time series modeling.
I have…
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I have two time series and when training one model for each of them, the models run through and I get predictions. However, as soon as I try to train on both series (following exactly the traffic/milk…
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Thanks for sharing the code.
I have a question about the implementation difference from DARTS. The training code looks like very similar to DARTS(https://github.com/quark0/darts).
As you mentio…
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**Bug description**
LightGBMModel, RandomForest and I believe any other regression model is not able to forecast multivariate (11 target values) time series.
The model.fit() is successful, but when …
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Hi,
Thanks for the great work on this library.
I was playing around with darts I can see lots of great functionality on backtests, historical_forecasts,
but it's not clear what the recommende…
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**Is your feature request related to a current problem? Please describe.**
These are the issues i have with fbprophet.
- Installing is a real pain because of pystan and other cython dependencie…
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Hi,
I was trying to run one-shot NAS (Darts) on my model and dataset following the instruction on [this](https://github.com/microsoft/nni/blob/9a4d0d67506f5e1197238344fed858305fbb4494/examples/notebo…
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I have a time series data (using the one found at [https://www.kaggle.com/c/demand-forecasting-kernels-only/data] ).
I am following the tutorial at https://github.com/unit8co/darts/blob/master/examp…
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- NNI version: 2.3
- Training service: local
- OS: ubuntu18.04
- I use PyTorch.
I found a possible solution in [Can we do hyperparameter optimization while doing NAS?](https://github.com/micros…
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Dear authors,
Thanks for providing the code of SDARTS.
I noticed that in sota/cnn/train_imagenet.py the batch_size is set to 1024. Does that mean the ImageNet results of SDARTS in the paper were…