fit_svm

If <code>FALSE</code> support for class probability estimation
is not included in the fitted model. This may save some computation time.

probability

Parameter ranges to tune over. Sent to
<code><a rd-options="e1071" href="/link/tune.svm?package=emil&version=2.2.10&to=e1071" data-mini-rdoc="e1071::tune.svm">tune.svm</a></code>.

ranges

Sent to <code><a rd-options="e1071" href="/link/svm?package=emil&version=2.2.10&to=e1071" data-mini-rdoc="e1071::svm">svm</a></code>.

A toolbox for designing and evaluating predictive models with
resampling methods. The aim of this package is to provide a simple and
efficient general framework for working with any type of prediction
problem, be it classification, regression or survival analysis, that is
easy to extend and adapt to your specific setting. Some commonly used
methods for classification, regression and survival analysis are included.

Christofer Backlin

emil

Evaluation of Modeling without Information Leakage

Mats Gustafsson

fit_svm function

Parameter ranges to tune over. Sent to
<code><a rd-options='e1071' href='tune.svm'>tune.svm</a></code>.

Sent to <code><a rd-options='e1071' href='svm'>svm</a></code>.

fit_svm: Fit a support vector machine

Description

Usage

Arguments