MachineShop (version 2.8.0)

ModeledInput: ModeledInput Classes

Description

Class for storing a model input and specification pair for MachineShop model fitting.

Usage

ModeledInput(x, ...)
# S3 method for formula
ModeledInput(x, data, model, ...)
# S3 method for matrix
ModeledInput(x, y, model, ...)
# S3 method for ModelFrame
ModeledInput(x, model, ...)
# S3 method for recipe
ModeledInput(x, model, ...)
# S3 method for MLModel
ModeledInput(x, ...)
# S3 method for MLModelFunction
ModeledInput(x, ...)

Arguments

x

input specifying a relationship between model predictor and response variables. Alternatively, a model function or call may be given first followed by the input specification.

...

arguments passed to other methods.

data

data frame or an object that can be converted to one.

model

model function, function name, or call.

y

response variable.

Value

ModeledFrame or ModeledRecipe class object that inherits from ModelFrame or recipe.

See Also

fit, resample, SelectedInput

Examples

# 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)

# }