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The hypothesis: a number of time series can be modeled with a single SARIMAX model (i.e. the same parameters work for all the time series). What is wanted: to fit them all simultaneously, i.e. the lik…
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Hi aangleopoulos ,
I was testing my dataset with this framework with exogenous variables but specifically for ARIMA model using darts package I was hitting issue concer…
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## Background / motivation
Parent epic: [#1006](https://github.com/oceanprotocol/pdr-backend/issues/1006) "Explore SARIMAX modeling"
**Top-level goal: Help user answer which of which transform to us…
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## Minimal Reproducible Example
```pycon
>>>
>>> from sktime.datasets import load_longley
>>> from sktime.forecasting.sarimax import SARIMAX
>>> from sktime.split import temporal_train_test_sp…
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Hey,
I wrote an objective function for a SARIMAX model, because I want to find the model with the best hyperparameters and the best external regressors in one combined step. The objective function …
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I'm trying to use statsmodels' SARIMAX on some very simple data, but for some puzzling reason, the fittedvalues appear to be shifted by one.
The original data:
```
>>> log_values
0 2.4993…
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update by @fkiraly: the below is mainly a design discussion related to the `BaseForecaster` contract in a case where both `fit` and `predict` have a non-trivial `fh` argument passed, specifically in s…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Covid Vaccine Tracker using Deep Learning
:red_circle: **Aim** : Create a DL model to track the Covid-1…
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DeepLabCut has some support for smoothing/filtering pose tracks, in the form of the `filterpredictions()` function in the [`filtering.py` module](https://github.com/DeepLabCut/DeepLabCut/blob/main/dee…