case_weights: Extract Case Weights

In MachineShop: Machine Learning Models and Tools

Extract Case Weights

Description

Extract the case weights from an object.

Usage

case_weights(object, newdata = NULL)

Arguments

object	model fit result, ModelFrame, or recipe.
newdata	dataset from which to extract the weights if given; otherwise, object is used. The dataset should be given as a ModelFrame or as a data frame if object contains a ModelFrame or a recipe, respectively.

Examples

## Training and test sets
inds <- sample(nrow(ICHomes), nrow(ICHomes) * 2 / 3)
trainset <- ICHomes[inds, ]
testset <- ICHomes[-inds, ]

## ModelFrame case weights
trainmf <- ModelFrame(sale_amount ~ . - built, data = trainset, weights = built)
testmf <- ModelFrame(formula(trainmf), data = testset, weights = built)
mf_fit <- fit(trainmf, model = GLMModel)
rmse(response(mf_fit, testmf), predict(mf_fit, testmf),
     case_weights(mf_fit, testmf))

## Recipe case weights
library(recipes)
rec <- recipe(sale_amount ~ ., data = trainset) %>%
  role_case(weight = built, replace = TRUE)
rec_fit <- fit(rec, model = GLMModel)
rmse(response(rec_fit, testset), predict(rec_fit, testset),
     case_weights(rec_fit, testset))

MachineShop documentation built on Sept. 18, 2023, 5:06 p.m.