BaseClassifier: Classifier used for enabling shared documenting of parameters

Description Usage Arguments

View source: R/Classifier.R

Description

Classifier used for enabling shared documenting of parameters

Usage

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BaseClassifier(X, y, X_u, verbose, scale, eps, x_center, intercept, lambda,
  y_scale, kernel, use_Xu_for_scaling, ...)

Arguments

X

matrix; Design matrix for labeled data

y

factor or integer vector; Label vector

X_u

matrix; Design matrix for unlabeled data

verbose

logical; Controls the verbosity of the output

scale

logical; Should the features be normalized? (default: FALSE)

eps

numeric; Stopping criterion for the maximinimization

x_center

logical; Should the features be centered?

intercept

logical; Whether an intercept should be included

lambda

numeric; L2 regularization parameter

y_scale

logical; whether the target vector should be centered

kernel

kernlab::kernel to use

use_Xu_for_scaling

logical; whether the unlabeled objects should be used to determine the mean and scaling for the normalization

...

Not used


RSSL documentation built on Jan. 13, 2021, 6:30 p.m.