-
#### Describe the bug
The plot_predict() function generates the following error message
AttributeError: 'ARIMAResults' object has no attribute 'plot_predict'
#### Code Sample, a copy-pastable e…
-
Dear colleagues,
I have a grouped ts_tibble where I am fitting ETS, TSLM, ARIMA, NNETAR and a combination model using all of this 4:
```r
ts_models %
model(arima = ARIMA(snsr_val_clean),
…
edgBR updated
4 years ago
-
can ARIMA model deal with periodicity of time series?
I didn't find the parameters involved in pyflux.
-
### Describe the question you have
Hi, I am forecasting several time series with auto arima, once without seasonality and once with seasonality. This is part of an automated algorithm which compares …
-
While running the model training with model_type = ARIMA_PLUS and AUTO_ARIMA = false is needed to set the NON_SEASONAL_ORDER option. This option type is type STRUCT, but when I try to define as
'NON…
-
**Is your feature request related to a problem? Please describe.**
sktime currently lacks built-in tools for model explainability, making it difficult for users to interpret and understand the pred…
-
Currently `forecast.hybridModel()` issues a warning if the `xreg` was only used for one component model and not the others. This behavior could be kept, but more flexibility would be given by allowing…
-
``` 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…
-
#### Describe the bug
Documentation says trend choices are 'c' or 'nc .
Should be 'c' or 'n'
https://www.statsmodels.org/stable/generated/statsmodels.tsa.arima_model.ARIMA.fit.html
```
…
-
A potentially useful feature could be for `pmdarima.arima.auto_arima` to stepwise determine (using the selected `information_criterion`) which exogenous features should be included in the model (e.g. …