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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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library('forecast')
data("AirPassengers")
time_func
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When viewing multiple models over multiple series, the following problem occurs. When models are adjusted (or readjusted), in some cases (for example arima, ets, ..) they save details of the adjustmen…
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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,
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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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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**Is your feature request related to a problem? Please describe.**
Current ARIMA code in PR #1194 is double precision only. For an initial release, IMO, that should suffice. However, in the long run,…
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Hi @aa25desh and welcome to MLJ.jl!
Here are some time series forecasting features I find very valuable:
Check out @robjhyndman's free book on forecasting: https://otexts.com/fpp2/
**Univariate …
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``` r
install.packages("astsa")
#> Installing package into 'C:/Users/shwet/AppData/Local/R/win-library/4.3'
#> (as 'lib' is unspecified)
#> package 'astsa' successfully unpacked and MD5 sums check…