sumo_forecast_per_id: Assign a different model to each time series
In vidarsumo/sumots: Helper functions for Sumo Analytics
View source: R/sumo_forecast_per_id.R
Description
Assign a different model to each time series
Usage
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sumo_forecast_per_id(
model_tbl,
splits,
future_data,
data_prepared,
transformation
)
Arguments
model_tbl
A modeltime_table that has been refitted to the whole dataset
future_data
Data frame for the future period i.e. a future frame
data_prepared
Dataset used for training and testing (data_prepared_tbl)
A
split object
vidarsumo/sumots documentation built on June 29, 2021, 4:23 a.m.
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View source: R/sumo_forecast_per_id.R
Description
Assign a different model to each time series
Usage
1 2 3 4 5 6 7 | sumo_forecast_per_id(
model_tbl,
splits,
future_data,
data_prepared,
transformation
)
|
Arguments
model_tbl |
A modeltime_table that has been refitted to the whole dataset |
future_data |
Data frame for the future period i.e. a future frame |
data_prepared |
Dataset used for training and testing (data_prepared_tbl) |
A |
split object |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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