heuristica (version 1.0.3)

predictPairProb: Predict the probability that row1 has a higher criterion than row2.

Description

Given two rows and a fitted heuristic, returns the heuristic's predicted probability that row1's criterion will be greater than row2's.

Usage

predictPairProb(row1, row2, object)

Arguments

row1

The first row of cues (will apply cols_to_fit for you, based on object).

row2

The second row (will apply cols_to_fit for you, based on object).

object

The fitted heuristic, e.g. a fitted ttbModel or logRegModel. (More technically, it's any object that implements predictProbInternal.)

Value

A double from 0 to 1, representing the probability that row1's criterion is greater than row2's criterion. 0.5 could be a guess or tie.

See Also

rowPairApply to get predictions for all row pairs of a matrix or data.frame.

Examples

# NOT RUN {
train_matrix <- cbind(y=c(5,4), x1=c(1,0), x2=c(0,1))
lreg <- logRegModel(train_matrix, 1, c(2,3))
predictPairProb(oneRow(train_matrix, 1), oneRow(train_matrix, 2), lreg)

# }