It would be quite useful for this package to be enhanced to be able to use forecast methods and forecast metrics from other R packages (and potentially also Python packages)
methods and metrics: Family of R packages tidyverts (including fable), family of R packages modeltime (including modeltime, modeltime.ensemble, modeltime.gluonts), family of R packages mlr3verse (including mlr3 ), telescope
metrics: yardstick and ForecastTB. Also to allow user to construct and pass their own metrics, along the lines of how it i sdone in yardstick and modeltime
Examples of Python packages: sktime
Also, to allow more choices in the benchmark model through baseline.forecast. For example, historical average.
It would be quite useful for this package to be enhanced to be able to use forecast methods and forecast metrics from other R packages (and potentially also Python packages)
methods and metrics: Family of R packages tidyverts (including fable), family of R packages modeltime (including modeltime, modeltime.ensemble, modeltime.gluonts), family of R packages mlr3verse (including mlr3 ), telescope
metrics: yardstick and ForecastTB. Also to allow user to construct and pass their own metrics, along the lines of how it i sdone in yardstick and modeltime
Examples of Python packages: sktime
Also, to allow more choices in the benchmark model through baseline.forecast. For example, historical average.