c.CrossValidation

Merge result of cross-validation runs on single datasets into a the same object

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

c.CrossValidation function

<dl><dt>...</dt>
<dd>Named arguments for the different objects, where the name reflects the dataset name</dd></dl>

Arguments

Merge result of cross-validation runs on single datasets into a the same object — c.CrossValidation

<dl>

<dt>...</dt>
<dd>Named arguments for the different objects, where the name reflects the dataset name</dd>

</dl>

c.CrossValidation: Merge result of cross-validation runs on single datasets into a the same object

Description

Usage

Arguments