lol.classify.randomGuess: Randomly Guessing Classifier Training

In neurodata/lol: Linear Optimal Low-Rank Projection

Description

A function that predicts by randomly guessing based on the pmf of the class priors. Functionality consistent with the standard R prediction interface so that one can compute the "guess" accuracy with minimal modification of other classification scripts.

Usage

lol.classify.randomGuess(X, Y, ...)

Arguments

X	[n, d] the data with n samples in d dimensions.
Y	[n] the labels of the n samples.
...	optional args.

Value

A list of class randomGuess, with the following attributes:

ylabs	[K] the ylabels for each of the K unique classes, ordered.
priors	[K] the priors for each of the K classes.

Author(s)

Eric Bridgeford

Examples

library(lolR)
data <- lol.sims.rtrunk(n=200, d=30)  # 200 examples of 30 dimensions
X <- data$X; Y <- data$Y
model <- lol.classify.randomGuess(X, Y)

neurodata/lol documentation built on March 3, 2021, 1:46 a.m.