solve_svm

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

solve_svm function

<dl><dt>K</dt>
<dd>Kernel matrix</dd>
<dt>y</dt>
<dd>Output vector</dd>
<dt>C</dt>
<dd>Cost parameter</dd></dl>

Arguments

SVM solve.QP implementation — solve_svm

<dl>

<dt>K</dt>
<dd>Kernel matrix</dd>


<dt>y</dt>
<dd>Output vector</dd>


<dt>C</dt>
<dd>Cost parameter</dd>

</dl>

solve_svm: SVM solve.QP implementation

Description

Usage

Arguments