parse_model: Converts an R model object into a table.
In tidymodels/tidypredict: Run Predictions Inside the Database
parse_model R Documentation
Converts an R model object into a table.
Description
It parses a fitted R model's structure and extracts the components
needed to create a dplyr formula for prediction. The function also
creates a data frame using a specific format so that other
functions in the future can also pass parsed tables to a given
formula creating function.
Usage
parse_model(model)
Arguments
model
An R model object.
Examples
library(dplyr)
df <- mutate(mtcars, cyl = paste0("cyl", cyl))
model <- lm(mpg ~ wt + cyl * disp, offset = am, data = df)
parse_model(model)
tidymodels/tidypredict documentation built on Jan. 19, 2024, 1:14 p.m.
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| parse_model | R Documentation |
Converts an R model object into a table.
Description
It parses a fitted R model's structure and extracts the components needed to create a dplyr formula for prediction. The function also creates a data frame using a specific format so that other functions in the future can also pass parsed tables to a given formula creating function.
Usage
parse_model(model)
Arguments
model |
An R model object. |
Examples
library(dplyr)
df <- mutate(mtcars, cyl = paste0("cyl", cyl))
model <- lm(mpg ~ wt + cyl * disp, offset = am, data = df)
parse_model(model)
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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