Package: penaltyLearning 2024.9.3

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.

Authors:Toby Dylan Hocking [aut, cre]

# Install 'penaltyLearning' in R:

install.packages('penaltyLearning', repos = c('https://tdhock.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tdhock/penaltylearning/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

demo8 - PeakSegFPOP demo data set
neuroblastomaProcessed - Processed neuroblastoma data set with features and targets
notConverging - Interval regression problem that was not converging
oneSkip - OneSkip

On CRAN:

cpp

6.09 score 16 stars 2 packages 129 scripts 820 downloads 30 exports 18 dependencies

Last updated from:1c0e2ea199. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	194
linux-devel-x86_64	OK	233
source / vignettes	OK	210
linux-release-arm64	OK	206
linux-release-x86_64	OK	222
macos-release-arm64	OK	119
macos-release-x86_64	OK	234
macos-oldrel-arm64	OK	145
macos-oldrel-x86_64	OK	231
windows-devel	OK	130
windows-release	OK	122
windows-oldrel	OK	144
wasm-release	OK	128

Exports:change.colors change.labels changeLabel check_features_targets check_target_pred coef.IntervalRegression featureMatrix featureVector geom_tallrect GeomTallRect IntervalRegressionCV IntervalRegressionCVmargin IntervalRegressionInternal IntervalRegressionRegularized IntervalRegressionUnregularized labelError largestContinuousMinimumC largestContinuousMinimumR modelSelection modelSelectionC modelSelectionR plot.IntervalRegression predict.IntervalRegression print.IntervalRegression ROChange squared.hinge targetIntervalResidual targetIntervalROC targetIntervals theme_no_space

Dependencies:cli cpp11 data.table farver ggplot2 glue gtable isoband labeling lifecycle R6 RColorBrewer rlang S7 scales vctrs viridisLite withr

Definition of penalty function learning

Introduction | Details | Conclusion

Rendered fromDefinition.Rnwusingutils::Sweave

Last update: 2017-11-27
Started: 2017-04-17

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
change colors	change.colors
change labels	change.labels
changeLabel	changeLabel
check features targets	check_features_targets
check target pred	check_target_pred
coef IntervalRegression	coef.IntervalRegression
PeakSegFPOP demo data set	demo8
featureMatrix	featureMatrix
featureVector	featureVector
geom tallrect	geom_tallrect
GeomTallRect	GeomTallRect
IntervalRegressionCV	IntervalRegressionCV
IntervalRegressionCVmargin	IntervalRegressionCVmargin
IntervalRegressionInternal	IntervalRegressionInternal
IntervalRegressionRegularized	IntervalRegressionRegularized
IntervalRegressionUnregularized	IntervalRegressionUnregularized
Compute incorrect labels	labelError
largestContinuousMinimumC	largestContinuousMinimumC
largestContinuousMinimumR	largestContinuousMinimumR
Compute exact model selection function	modelSelection
Exact model selection function	modelSelectionC
Exact model selection function	modelSelectionR
Processed neuroblastoma data set with features and targets	neuroblastomaProcessed
Interval regression problem that was not converging	notConverging
oneSkip	oneSkip
plot IntervalRegression	plot.IntervalRegression
predict IntervalRegression	predict.IntervalRegression
print IntervalRegression	print.IntervalRegression
ROC curve for changepoints	ROChange
squared hinge	squared.hinge
targetIntervalResidual	targetIntervalResidual
targetIntervalROC	targetIntervalROC
Compute target intervals	targetIntervals
theme no space	theme_no_space