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I cannot train a model and resend it into a nnetar function, because my output class is different to my required input class:
else if(inherits(model, "nnetar"))
fit
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Audience:
- General stats/data/ML/programming attendees
- Some experience/interest with forecasting (time series analysis, forecast package)
- Diverse forecasting backgrounds (events, finance, bloc…
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By refer to https://dzone.com/articles/seasonal-periods, I try to model a seasonal model.
Dataset:
```r
> smp %>% head
open high low close
2015-01-05 00:01:00 1…
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Implement parallelization between models. When training multiple models, parallelize between the models, but if additional cores are present, allow individual models (e.g. tbats, auto.arima) to run in…
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I would love to see user-defined forecast functions be allowed in the same manner as baggedETS works. Perhaps create a new, broader function which defaults to ETS? I know auto.arima will work, I've ta…
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I perform time series analysis
mydat=structure(list(id = c(1030879980L, 1030879980L, 1030879980L,
1030879980L, 1030879980L, 1030879980L, 1030879980L, 1030879980L,
1030879980L, 1030879980L, 103087…
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I perform time series analysis with separating by groups part of mydat
mydat=structure(list(id = c(1030879980L, 1030879980L, 1030879980L,
1030879980L, 1030879980L, 1030879980L, 1030879980…
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Hi Rob,
I fit a TBATS model on non-integer frequency time series data. Then, I apply the same model to the same data but this returns different fitted values:
```R
> library(forecast)
>
> mo…
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While working with bats/tbats models, I found some strange behavior I want to report.
My understanding of bats/tbats is the following:
1. One can use bats/tbats models also with non seasonal data. Wi…