penaltyLearning

Penalty Learning

Implementations of algorithms from Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression, by Hocking, Rigaill, Vert, Bach <http://proceedings.mlr.press/v28/hocking13.html> published in proceedings of ICML2013.

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Description file content

Package
penaltyLearning
Maintainer
Toby Dylan Hocking
Author
Toby Dylan Hocking
Version
2019.5.29
License
GPL-3
Title
Penalty Learning
Description
Implementations of algorithms from Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression, by Hocking, Rigaill, Vert, Bach published in proceedings of ICML2013.
Suggests
Segmentor3IsBack, neuroblastoma, microbenchmark, testthat, future, future.apply, directlabels (>= 2017.03.31)
Depends
R (>= 2.10)
URL
BugReports
https://github.com/tdhock/penaltyLearning/issues
Imports
data.table (>= 1.9.8), geometry, ggplot2
NeedsCompilation
yes
Packaged
2019-06-05 20:58:23 UTC; th798
Repository
CRAN
Date/Publication
2019-06-09 16:50:03 UTC

install.packages('penaltyLearning')

2019.5.29

2 months ago

https://github.com/tdhock/penaltyLearning

Toby Dylan Hocking

GPL-3

Depends on

R (>= 2.10)

Imports

data.table (>= 1.9.8), geometry, ggplot2

Suggests

Segmentor3IsBack, neuroblastoma, microbenchmark, testthat, future, future.apply, directlabels (>= 2017.03.31)

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