aum_diffs: aum diffs

In tdhock/aum: Area Under Minimum of False Positives and Negatives

aum diffs

Description

Create error differences data table which can be used as input to aum function. Typical users should not use this function directly, and instead use aum_diffs_binary for binary classification, and aum_diffs_penalty for error defined as a function of non-negative penalty.

Usage

aum_diffs(example, pred, 
    fp_diff, fn_diff, 
    pred.name.vec)

Arguments

example	Integer or character vector identifying different examples.
pred	Numeric vector of predicted values at which the error changes.
fp_diff	Numeric vector of difference in fp at pred.
fn_diff	Numeric vector of difference in fn at pred.
pred.name.vec	Character vector of example names for predictions.

Value

data table of class "aum_diffs" in which each rows represents a breakpoint in an error function. Columns are interpreted as follows: there is a change of "fp_diff","fn_diff" at predicted value "pred" for example/observation "example". This can be used for computing Area Under Minimum via aum function, and plotted via plot.aum_diffs.

Author(s)

Toby Dylan Hocking <[e-mail]> [aut, cre], Jadon Fowler [aut] (Contributed exact line search C++ code)

Examples

aum::aum_diffs_binary(c(0,1))
aum::aum_diffs(c("positive", "negative"), 0, c(0,1), c(-1,1), c("negative", "positive"))
rbind(aum::aum_diffs(0L, 0, 1, 0), aum_diffs(1L, 0, 0, -1))

tdhock/aum documentation built on Oct. 26, 2024, 5:39 a.m.