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Hi, I am working on trying to compare the prediction of a basic LSTM, a DeepAR and a TemporalFusionTransformer for the prediction of some multivariate sets of series.
I have around 4000 various Tim…
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In the [multi-time-series example](https://github.com/unit8co/darts/blob/master/examples/01-multi-time-series-and-covariates.ipynb), Note that `ElectricityDataset` contains measurements of electric p…
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Hi there,
with this issue we would like to do three things:
- 1) share with you the paper we just wrote for ComplexityMeasures.jl and ask for your feedback and corrections (we compare vs EntropyH…
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#### Description
When running SAX-VSM on my timeseries I get the following error:
`At least one sample is constant.`
I tried filtering out all the constant time series with
`X = X[np.where(~(np.…
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I am trying to understand better how a global model would work under the two different forecasting methods - multivariate forecast vs multiple series forecasting. Based on what was mentioned in [#2141…
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**Describe the bug 🐞**
Changing the differentiation method in the [optimization example](https://docs.sciml.ai/ModelingToolkit/stable/examples/remake/#Optimizing-through-an-ODE-solve-and-re-creatin…
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I ran the notebooks in order 1 - 2 - 3 - 5.
When scheduling the inference and checking output for the first run I receive this error:
```
[{'ModelName': 'lookout-demo-model-v1',
'ModelArn': …
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**Is your feature request related to a problem? Please describe.**
I would use sktime in combination with plotly dash to support applications that allow for visual interaction with different models. …
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My input dimensions are [1500, 50, 6] and my label dimensions are [1500, 1]. Can I use this model? If so, could you please explain how to configure it correctly?
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I am using Pycharm to execute VARIMA for multivariate data. What I am trying to do is, given a time step, the model predicts the next 10 time steps based on the 30 previous ones. Either way, I believe…