Combine multiple Modeltime Tables into a single Modeltime Table
Combine multiple Modeltime Tables into a single Modeltime Table
combine_modeltime_tables(...)
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Multiple Modeltime Tables (class |
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.
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
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
library(modeltime)
library(tidymodels)
library(tidyverse)
library(timetk)
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.