line_coefficients

line_coefficients,LeastSquaresClassifier-method

line_coefficients,NormalBasedClassifier-method

line_coefficients,LogisticRegression-method

line_coefficients,LinearSVM-method

line_coefficients,LogisticLossClassifier-method

line_coefficients,QuadraticDiscriminantClassifier-method

line_coefficients,SelfLearning-method

<p>Classifier; Trained Classifier object</p>

object

<p>Loss of a classifier or regression function</p>

A collection of implementations of semi-supervised classifiers
and methods to evaluate their performance. The package includes implementations
of, among others, Implicitly Constrained Learning, Moment Constrained Learning,
the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic
Likelihood estimation, S4VM and WellSVM.

Jesse Krijthe

RSSL

Implementations of Semi-Supervised Learning Approaches for
Classification

line_coefficients function

Loss of a classifier or regression function — line_coefficients

Loss of a classifier or regression function

line_coefficients: Loss of a classifier or regression function

Description

Usage

Arguments

Value