modeltime_fit_resamples

object

A resample <code>rset</code> created from a function like <code><a rd-options="timetk:time_series_cv" href="/link/timetk%3A%3Atime_series_cv()?package=modeltime.ensemble&version=0.1.0&to=timetk%3Atime_series_cv" data-mini-rdoc="timetk:time_series_cv::timetk::time_series_cv()">timetk::time_series_cv()</a></code>.

resamples

A <code><a rd-options="tune:control_grid" href="/link/tune%3A%3Acontrol_resamples()?package=modeltime.ensemble&version=0.1.0&to=tune%3Acontrol_grid" data-mini-rdoc="tune:control_grid::tune::control_resamples()">tune::control_resamples()</a></code> object to provide
control over the resampling process.

control

Fits Models in a Modeltime Table to Resamples

A 'modeltime' extension that implements time series ensemble forecasting methods including model averaging,
weighted averaging, and stacking. These techniques are popular methods
to improve forecast accuracy and stability. Refer to papers such as
"Machine-Learning Models for Sales Time Series Forecasting" Pavlyshenko, B.M. (2019) <doi:10.3390>.

Matt Dancho

modeltime.ensemble

Ensemble Algorithms for Time Series Forecasting with Modeltime

Business Science 

modeltime_fit_resamples function

A resample <code>rset</code> created from a function like <code><a rd-options='timetk:time_series_cv' href='timetk::time_series_cv()'>timetk::time_series_cv()</a></code>.

A <code><a rd-options='tune:control_grid' href='tune::control_resamples()'>tune::control_resamples()</a></code> object to provide
control over the resampling process.

modeltime_fit_resamples: Fits Models in a Modeltime Table to Resamples

Description

Usage

Arguments