Other packages > Find by keyword >

ParamHelpers  

Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning
View on CRAN: Click here


Download and install ParamHelpers package within the R console
Install from CRAN:
install.packages("ParamHelpers")

Install from Github:
library("remotes")
install_github("cran/ParamHelpers")

Install by package version:
library("remotes")
install_version("ParamHelpers", "1.14.2")



Attach the package and use:
library("ParamHelpers")
Maintained by
Martin Binder
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-06-01
Latest Update: 2022-07-04
Description:
Functions for parameter descriptions and operations in black-box optimization, tuning and machine learning. Parameters can be described (type, constraints, defaults, etc.), combined to parameter sets and can in general be programmed on. A useful OptPath object (archive) to log function evaluations is also provided.
How to cite:
Martin Binder (2012). ParamHelpers: Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning. R package version 1.14.2, https://cran.r-project.org/web/packages/ParamHelpers. Accessed 18 Feb. 2025.
Previous versions and publish date:
1.0-54 (2012-06-01 07:03), 1.0-55 (2012-06-03 08:07), 1.1-36 (2013-08-29 01:13), 1.2 (2014-07-03 09:33), 1.3 (2014-07-15 08:05), 1.4 (2014-10-10 21:54), 1.5 (2015-02-03 18:04), 1.6 (2015-11-18 09:31), 1.7 (2016-02-03 22:47), 1.8 (2016-07-19 10:42), 1.9 (2016-09-09 23:52), 1.10 (2017-01-05 19:24), 1.11 (2018-06-26 00:56), 1.12 (2019-01-18 16:10), 1.13 (2019-12-02 16:00), 1.14.1 (2022-07-04 13:29), 1.14 (2020-03-24 11:10)
Other packages that cited ParamHelpers R package
View ParamHelpers citation profile
Other R packages that ParamHelpers depends, imports, suggests or enhances
Complete documentation for ParamHelpers
Functions, R codes and Examples using the ParamHelpers R package
Some associated functions: LearnerParam . OptPath . Param . addOptPathEl . as.data.frame.OptPathDF . checkParamSet . convertParamSetToIrace . dfRowsToList . discreteNameToValue . discreteValueToName . dropParams . evaluateParamExpressions . filterParams . generateDesign . generateDesignOfDefaults . generateGridDesign . generateRandomDesign . getDefaults . getLower . getOptPathBestIndex . getOptPathCol . getOptPathCols . getOptPathDOB . getOptPathEOL . getOptPathEl . getOptPathErrorMessages . getOptPathExecTimes . getOptPathLength . getOptPathParetoFront . getOptPathX . getOptPathY . getParamIds . getParamLengths . getParamNr . getParamSet . getParamTypeCounts . getParamTypes . getRequirements . getTypeStrings . hasExpression . hasFiniteBoxConstraints . hasForbidden . hasRequires . hasTrafo . hasType . isEmpty . isFeasible . isForbidden . isRequiresOk . isSpecialValue . isType . isTypeString . isVector . listToDfOneRow . makeParamSet . paramValueToString . plotEAF . plotOptPath . plotYTraces . removeMissingValues . renderOptPathPlot . renderYTraces . repairPoint . sampleValue . sampleValues . setOptPathElDOB . setOptPathElEOL . setValueCNames . trafoOptPath . trafoValue . updateParVals . 
Some associated R codes: LearnerParam.R . OptPath.R . OptPathDF.R . OptPathDF_as_data_frame.R . OptPathDF_getter.R . OptPathDF_setter.R . OptPath_getter.R . OptPath_plotEAF.R . OptPath_plotYTraces.R . OptPath_plotter.R . OptPath_setter.R . ParamSet.R . aParam.R . checkParamSet.R . convertDiscrete.R . convertParamSetToIrace.R . convertTypesToCInts.R . dfRowsToList.R . dropParams.R . evaluateParamExpressions.R . filterParams.R . generateDesign.R . generateDesignOfDefaults.R . generateGridDesign.R . generateRandomDesign.R . getBounds.R . getDefaults.R . getParamIds.R . getParamLengths.R . getParamNr.R . getParamSet.R . getParamTypeCounts.R . getParamTypes.R . getRequiredParamNames.R . getRequirements.R . getTypeStrings.R . hasExpression.R . hasFiniteBoxConstraints.R . hasForbidden.R . hasRequires.R . hasTrafo.R . hasType.R . isFeasible.R . isForbidden.R . isRequiresOk.R . isSpecialValue.R . isType.R . isTypeString.R . isVector.R . listToDfOneRow.R . makeLearnerParamFuns.R . makeParamFuns.R . paramValueToString.R . removeMissingValues.R . renderOptPathPlot.R . renderOptPathPlot_helpers.R . renderOptPathPlot_workers.R . repairPoint.R . sample.R . setValueCNames.R . trafo.R . updateParVals.R . utils.R . zzz.R .  Full ParamHelpers package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

RobustBayesianCopas  
Robust Bayesian Copas Selection Model
Fits the robust Bayesian Copas (RBC) selection model of Bai et al. (2020) for cor ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
MOSS  
Multi-Omic Integration via Sparse Singular Value Decomposition
High dimensionality, noise and heterogeneity among samples and features challenge the omic integrat ...
Download / Learn more Package Citations See dependency  
readxlsb  
Read 'Excel' Binary (.xlsb) Workbooks
Import data from 'Excel' binary (.xlsb) workbooks into R. ...
Download / Learn more Package Citations See dependency  
clustMixType  
k-Prototypes Clustering for Mixed Variable-Type Data
Functions to perform k-prototypes partitioning clustering for mixed variable-type data according to ...
Download / Learn more Package Citations See dependency  
ppmf  
Read Census Privacy Protected Microdata Files
Implements data processing described in to align modern differentially ...
Download / Learn more Package Citations See dependency  

23,712

R Packages

205,795

Dependencies

64,332

Author Associations

23,631

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA