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Hi,
You have mentioned in the document that
`Probabilistic forecasts are available for all models, but in many cases are just data-based estimates in lieu of model estimates, so be careful.
uppe…
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Trying to install with pip
![image](https://user-images.githubusercontent.com/25177773/101760551-03d18180-3b01-11eb-9797-4c13599d3e41.png)
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Currently, `xr_predictability_horizon` is a simple test for finding the lead time to which the initialized skill beats out persistence/uninitialized.
```python
def xr_predictability_horizon(skill…
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Currently IMPROVER is supported for Python 3.6 and 3.7 with Iris 2.2 and 2.4, respectively. I.e. it is tested against two Conda environments:
1. Python 3.6 with Iris 2.2
2. Python 3.7 with Iris 2.…
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can you pls clarify
I see from
https://cran.r-project.org/web/packages/forecast/index.html
that your package is for univariate time series
Methods and tools for displaying and analysing univari…
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I am not sure if GluonTS currently supports something like forecast reconciliation of hierarchical or grouped time series. This means that the sum of all forecasts that make up a hierarchy matches to …
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Massive amount of things to account for here it appears, uffties.
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When I want to use
```
from pts.dataset.repository import get_dataset
dataset = get_dataset("m5", regenerate=False)
```
I get the warning that the files from Kaggle are not present in the direc…
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Bake-off in python toolbox with full set of methods and suite of post-hoc analyses.
Conditional on:
- data loading implemented https://github.com/kiraly-group/sktime/issues/8
- baseline methods a…
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Hi,
I would humbly like to ask you to include my library pyFTS on your awesome list. pyFTS is a free and open-source library for Fuzzy Time Series in Python programming language. Here follow some m…