predict.supervisedPRIM: Model Predictions

Description Usage Arguments Author(s) Examples

View source: R/supervisedPRIM.R

Description

Perform prediction on a trained supervisedPRIM model. Output to either predicted class or positive class probability is supported.

Usage

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## S3 method for class 'supervisedPRIM'
predict(object, newdata, classProb = FALSE, ...)

Arguments

object

A trained model of class supervisedPRIM returned by supervisedPRIM

newdata

The new data on which to create predictions

classProb

Should the function return the estimated class

...

additional arguments (ignored) probabilities instead of the predicted class?

Author(s)

David Shaub

Examples

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# Train a model to determine if a flower is setosa
data(iris)
yData <- factor(ifelse(iris$Species == "setosa", "setosa", "other"), levels = c("setosa", "other"))
xData <- iris
xData$Species <- NULL
primModel <- supervisedPRIM(x = xData, y = yData)
# Predict on the original dataset
predictions <- predict(primModel, newdata = xData)

supervisedPRIM documentation built on May 2, 2019, 10:15 a.m.