lol.classify.randomGuess: Randomly Guessing Classifier Training

Description Usage Arguments Value Author(s) Examples

View source: R/random_classifier.R

Description

A function that trains a classifier based on random guessing.

Usage

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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

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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 Oct. 17, 2018, 8:58 a.m.