RemixAutoML (version 0.5.4)

ResidualPlots: ResidualPlots

Description

Residual plots for regression models

Usage

ResidualPlots(
  TestData = NULL,
  Target = "Adrian",
  Predicted = "Independent_Variable1",
  DateColumnName = NULL,
  Gam_Fit = FALSE
)

Arguments

TestData

= NULL,

Target

= "Adrian",

Predicted

= "Independent_Variable1",

DateColumnName

"DateTime"

Gam_Fit

= TRUE

See Also

Other Model Evaluation and Interpretation: AutoShapeShap(), CumGainsChart(), EvalPlot(), ParDepCalPlots(), ROCPlot(), RedYellowGreen(), ShapPlot(), SingleRowShapeShap(), threshOptim()

Examples

# NOT RUN {
# Create fake data
test_data <- RemixAutoML::FakeDataGenerator(
  Correlation = 0.80,
  N = 250000,
  ID = 0,
  FactorCount = 0,
  AddDate = TRUE,
  AddComment = FALSE,
  AddWeightsColumn = FALSE,
  ZIP = 0)

# Build Plots
output <- RemixAutoML::ResidualPlots(
  TestData = test_data,
  Target = "Adrian",
  Predicted = "Independent_Variable1",
  DateColumnName = "DateTime",
  Gam_Fit = TRUE)
# }
# NOT RUN {
# }