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MajorityClassClassifier.Rd
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48 lines (46 loc) · 1.42 KB
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/MajorityClassClassifier.R
\name{MajorityClassClassifier}
\alias{MajorityClassClassifier}
\title{Majority Class Classifier}
\usage{
MajorityClassClassifier(X, y, ...)
}
\arguments{
\item{X}{matrix; Design matrix for labeled data}
\item{y}{factor or integer vector; Label vector}
\item{...}{Not used}
}
\description{
Classifier that returns the majority class in the training set as the prediction for new objects.
}
\seealso{
Other RSSL classifiers:
\code{\link{EMLeastSquaresClassifier}},
\code{\link{EMLinearDiscriminantClassifier}},
\code{\link{GRFClassifier}},
\code{\link{ICLeastSquaresClassifier}},
\code{\link{ICLinearDiscriminantClassifier}},
\code{\link{KernelLeastSquaresClassifier}},
\code{\link{LaplacianKernelLeastSquaresClassifier}()},
\code{\link{LaplacianSVM}},
\code{\link{LeastSquaresClassifier}},
\code{\link{LinearDiscriminantClassifier}},
\code{\link{LinearSVM}},
\code{\link{LinearTSVM}()},
\code{\link{LogisticLossClassifier}},
\code{\link{LogisticRegression}},
\code{\link{MCLinearDiscriminantClassifier}},
\code{\link{MCNearestMeanClassifier}},
\code{\link{MCPLDA}},
\code{\link{NearestMeanClassifier}},
\code{\link{QuadraticDiscriminantClassifier}},
\code{\link{S4VM}},
\code{\link{SVM}},
\code{\link{SelfLearning}},
\code{\link{TSVM}},
\code{\link{USMLeastSquaresClassifier}},
\code{\link{WellSVM}},
\code{\link{svmlin}()}
}
\concept{RSSL classifiers}