intreg {animint2} | R Documentation |

##
Interval regression

### Description

Learning model complexity using max-margin interval regression. We have
observed several noisy piecewise constant signals, and we have
weak labels about how many change-points occur in several regions. Max
margin interval regression is an algorithm that uses this information to
learn a penalty function for accurate change-point detection.

### Usage

data(intreg)

### Format

There are 7 related data.frames: signals contains the noisy
piecewise constant signals, annotations contains the weak labels,
segments and breaks contain the segmentation model, selection contains
the penalty and cost information, intervals contains the target
intervals of penalty values for each signal, and model describes the
learned max margin interval regression model.

[Package

*animint2* version 2020.9.18

Index]