predictDataprep: Extract predictions and generate columns from autoDataprep...

In daya6489/DriveML: Self-Drive Machine Learning Projects

Description

this function can be used for autoDataprep objects to generate the same for validation

Usage

predictDataprep(x, data)

Arguments

x	[autoDataprep object | Required] autoDataprep object for which prediction is desired
data	[data.frame | Required] prediction data set to prepare the MAR columns

Value

master data set same as train data set

Examples

## Sample train data set
train <- heart[1:200, ]
test <- heart[201:350, ]
traindata <- autoDataprep(train, target = "target_var", missimpute = "default",
dummyvar = TRUE, aucv = 0.02, corr = 0.98, outlier_flag = TRUE,
interaction_var = TRUE, frequent_var = TRUE)
train <- traindata$master

## Predict same features for test set
test <- predictDataprep(traindata, test)

daya6489/DriveML documentation built on July 22, 2021, 4:21 a.m.