logsumexp

Numerically more stable way to calculate log sum exp

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

logsumexp function

<dl><dt>M</dt>
<dd>matrix; m by n input matrix, sum with be over the rows</dd></dl>

Arguments

Numerically more stable way to calculate log sum exp — logsumexp

<dl>

<dt>M</dt>
<dd>matrix; m by n input matrix, sum with be over the rows</dd>

</dl>

logsumexp: Numerically more stable way to calculate log sum exp

Description

Usage

Value

Arguments