combine_modeltime_tables {modeltime} | R Documentation |
Combine multiple Modeltime Tables into a single Modeltime Table
Description
Combine multiple Modeltime Tables into a single Modeltime Table
Usage
combine_modeltime_tables(...)
Arguments
... |
Multiple Modeltime Tables (class |
Details
This function combines multiple Modeltime Tables.
The
.model_id
will automatically be renumbered to ensure each model has a unique ID.Only the
.model_id
,.model
, and.model_desc
columns will be returned.
Re-Training Models on the Same Datasets
One issue can arise if your models are trained on different datasets.
If your models have been trained on different datasets, you can run
modeltime_refit()
to train all models on the same data.
Re-Calibrating Models
If your data has been calibrated using modeltime_calibrate()
,
the .test
and .calibration_data
columns will be removed.
To re-calibrate, simply run modeltime_calibrate()
on the newly
combined Modeltime Table.
See Also
-
combine_modeltime_tables()
: Combine 2 or more Modeltime Tables together -
add_modeltime_model()
: Adds a new row with a new model to a Modeltime Table -
drop_modeltime_model()
: Drop one or more models from a Modeltime Table -
update_modeltime_description()
: Updates a description for a model inside a Modeltime Table -
update_modeltime_model()
: Updates a model inside a Modeltime Table -
pull_modeltime_model()
: Extracts a model from a Modeltime Table
Examples
library(tidymodels)
library(timetk)
library(dplyr)
library(lubridate)
# Setup
m750 <- m4_monthly %>% filter(id == "M750")
splits <- time_series_split(m750, assess = "3 years", cumulative = TRUE)
model_fit_arima <- arima_reg() %>%
set_engine("auto_arima") %>%
fit(value ~ date, training(splits))
model_fit_prophet <- prophet_reg() %>%
set_engine("prophet") %>%
fit(value ~ date, training(splits))
# Multiple Modeltime Tables
model_tbl_1 <- modeltime_table(model_fit_arima)
model_tbl_2 <- modeltime_table(model_fit_prophet)
# Combine
combine_modeltime_tables(model_tbl_1, model_tbl_2)