get_tp: Get true positives (TP), given a knowledge matrix and a...

In XSLmodels: Run and Optimize Cross-Situational Word Learning Models

Get true positives (TP), given a knowledge matrix and a gold-standard lexicon

Description

This function iterates over words in a given gold lexicon and accumulates the associative strength (can be integral e.g. 1, or real-valued) in the knowledge matrix for the intended referents (present in the gold lexicon). Returns the number of expected true positives (TP) for this gold lexicon and knowledge matrix.

Usage

get_tp(m, gold_lexicon)

Arguments

m	A matrix representing the knowledge matrix with words as rows and referents as columns.
gold_lexicon	A data frame or list where each row/element represents a word-object pair in the gold lexicon.

Value

A single value with the expected number of true positives.

Examples

dat <- xsl_datasets[[10]]
x <- xsl_run(baseline(), dat)
mat <- x$fits[[1]]$matrix
lex <- list(words = rep(1:18), objects = rep(1:18))
get_tp(mat, lex)

XSLmodels documentation built on Oct. 18, 2026, 5:08 p.m.