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Class for storing a model input and specification pair for MachineShop model fitting.
ModeledInput(...)# S3 method for formula
ModeledInput(formula, data, model, ...)
# S3 method for matrix
ModeledInput(x, y, model, ...)
# S3 method for ModelFrame
ModeledInput(object, model, ...)
# S3 method for recipe
ModeledInput(object, model, ...)
# S3 method for MLModel
ModeledInput(model, ...)
# S3 method for MLModelFunction
ModeledInput(model, ...)
arguments passed from the generic function to its methods. The
first argument of each ModeledInput method is positional and, as
such, must be given first in calls to them.
formula defining the model predictor and response variables and a data frame containing them.
matrix and object containing predictor and response variables.
input object defining and containing the model predictor and response variables.
ModeledFrame or ModeledRecipe class object that
inherits from ModelFrame or recipe.
# NOT RUN {
## Modeled model frame
mod_mf <- ModeledInput(sale_amount ~ ., data = ICHomes, model = GLMModel)
fit(mod_mf)
## Modeled recipe
library(recipes)
rec <- recipe(sale_amount ~ ., data = ICHomes)
mod_rec <- ModeledInput(rec, model = GLMModel)
fit(mod_rec)
# }
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