[R] Any Unsupervised Learning Algorithm for Time Series Forecasting in R

Bert Gunter bgunter@4567 @end|ng |rom gm@||@com
Wed Jun 20 18:34:34 CEST 2018


... and II should have added that the "forecast" package may be what you're
looking for.

Cheers,
Bert



Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Wed, Jun 20, 2018 at 9:30 AM, Bert Gunter <bgunter.4567 using gmail.com> wrote:

> Depending on exactly what you mean by"unsupervised", many.
>
> See here under "Decomposition and filtering":
>
> https://cran.r-project.org/web/views/TimeSeries.html
>
> You could also search on something like "smooth time series R" etc.
>
> However, assuming I have correcty interpreted "unsupervised algorithm," be
> aware that extrapolating from such smoothed historical data can be
> problematic precisely because no structure/model has been specified. See
> here for some further background and R functions:
>
> http://a-little-book-of-r-for-time-series.readthedocs.io/en/
> latest/src/timeseries.html#holt-winters-exponential-smoothing
>
>
> Cheers,
> Bert
>
>
>
>
>
>
> Bert Gunter
>
> "The trouble with having an open mind is that people keep coming along and
> sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>
> On Wed, Jun 20, 2018 at 9:00 AM, Paul Bernal <paulbernal07 using gmail.com>
> wrote:
>
>> Dear friends,
>>
>> Hope you are all doing great. I would like to know if R has any
>> unsupervised algorithm to generate forecasts for historical data.
>>
>> Any help will be greatly appreciated,
>>
>> Best regards,
>>
>> Paul
>>
>>         [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posti
>> ng-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>

	[[alternative HTML version deleted]]




More information about the R-help mailing list