intreg


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.


datasets

An interactive animation can be defined using a list of
ggplots with clickSelects and showSelected aesthetics.

Toby Dylan Hocking

animint

Interactive animations

intreg function

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.

intreg: Interval regression

Description

Usage

Arguments

Format