reexports

fit_xy

These objects are imported from other packages. Follow the links
below to see their documentation.<dl class="dl-horizontal">
 <dt>generics</dt><dd><code><a rd-options="generics" href="/link/fit?package=SSLR&version=0.9.3.3&to=generics" data-mini-rdoc="generics::fit">fit</a></code>, <code><a rd-options="generics" href="/link/fit_xy?package=SSLR&version=0.9.3.3&to=generics" data-mini-rdoc="generics::fit_xy">fit_xy</a></code></dd>
</dl>

internal

Providing a collection of techniques for semi-supervised
classification, regression and clustering. In semi-supervised problem, both labeled and unlabeled
data are used to train a classifier. The package includes a collection of
semi-supervised learning techniques: self-training, co-training, democratic,
decision tree, random forest, 'S3VM' ... etc, with a fairly intuitive interface
that is easy to use.

Francisco Jes<c3><ba>s Palomares Alabarce

SSLR

Semi-Supervised Classification, Regression and Clustering
Methods

Jos<c3><a9> Manuel Ben<c3><ad>tez

Isaac Triguero

Christoph Bergmeir

Mabel Gonz<c3><a1>lez

reexports function

These objects are imported from other packages. Follow the links
below to see their documentation.<dl class='dl-horizontal'>
 <dt>generics</dt><dd><code><a rd-options='generics' href='fit'>fit</a></code>, <code><a rd-options='generics' href='fit_xy'>fit_xy</a></code></dd>
</dl>

Objects exported from other packages — reexports

Objects exported from other packages

reexports: Objects exported from other packages

Description

Arguments