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### Describe the question you have
While running auto arima i made seasonal parameter as true. Still while fitting and testing model is not testing for seasonality. I tested with various samples havi…
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### Is your feature request related to a problem? Please describe.
I recently ran into a problem where I found that auto_arima() was using multiple cores while fitting a stepwise model. Eventually …
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**Describe the bug**
The pytests for autoarima test individual functions:
```
```
Unfortunately this misses testing the `forecast` path, which led to the issue seen in…
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Hi Steffen,
Thanks for this great package which greatly facilitates imputations.
This is a feature request. Would it be possible to return the fitting statistics and/or residuals from the subrou…
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Hi,
I have been triying to use the train_model function with an auto.arima model and fourier terms as xreg argument, but I haven't been able to make it work. What is the correct way of implementing …
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The seasonality test used in auto-ARIMA relies on the non-batched implementation of the STL decomposition provided by statsmodels for the seasonality test used to find D.
A CUDA implementation would …
Nyrio updated
3 years ago
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``` r
# Load required packages
library(reprex)
library(forecast)
#> Registered S3 method overwritten by 'quantmod':
#> method from
#> as.zoo.data.frame zoo
library(readr)
libr…
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Hi, thanks for writing and making your package publicly available!
If I understand correct there is no straightforward way to forecast with ZIM right now. I'd like to make a request for a `forecast…
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I am trying to add a new time series model to the list of FLAML's built-in ones, but have trouble specifying the search space. This model contains two component models from FLAML's builtins, and I wan…