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```
Modular decomposition refers to the process of building a modular
decomposition tree. These can yield very interesting properties about
graphs (directed, undirected, and hypergraphs alike). Mo…
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For the API design proposal, see [this wiki entry](https://github.com/alan-turing-institute/sktime/wiki/Forecasting-API-proposal).
## Forecasters
### Atomic
- [x] NaiveForecaster (strategies={"l…
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Something pretty useful that's defined in Makie is the ability to define argument conversions (by arguments I mean positional arguments here) on (in Plots terms) a per-series basis. So, for example, …
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Need to discuss what all we want to add for version 0.3.0
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Hi ,
I was looking into this github and I see that I am also facing similar issue over darts package to support for SARIMA and SARIMAX models to use it https://github.com/unit8co/darts/issues…
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Currently, we are a little loose with the way we organize our "public" apis'. For example, in `hydrotools`'s `metrics` subpackage, a user must do the following to access the "public" functions:
```…
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I'm wondering if it would be in scope for TSFRESH to have some feature generators that build out features from the DatetimeIndex for use in forecasting applications to capture cyclical events. Some ra…
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**Describe the bug**
Cannot import TimeSeriesKMeans from tslearn.clustering. The reason can be that scipy.linalg.pinv2 was deprecated with version 1.7 and removed with version 1.9. The functionality …
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Hi!
using: time_decompose(count,method='twitter')
gives me the error...
``
Is this the right/intended error message?
I'm confused whether the twitter method is used instead of stl at all.
…
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#### Description
Hello, I am new to python. I am trying to use the SSA decomposition method for rainfall prediction with a dataset of 21500 rows and 5 columns (21500, 5).
I used the source codes bel…