CRAN/E | ParamHelpers

ParamHelpers

Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning

Installation

About

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.

paramhelpers.mlr-org.com
github.com/mlr-org/ParamHelpers
Bug report File report

Key Metrics

Version 1.14.1
Published 2022-07-04 661 days ago
Needs compilation? yes
License BSD_2_clause
License File
CRAN checks ParamHelpers results

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Maintainer

Maintainer

Jakob Richter

code@jakob-r.de

Authors

Bernd Bischl

aut

Michel Lang

aut

Jakob Richter

cre / aut

Jakob Bossek

aut

Daniel Horn

aut

Karin Schork

ctb

Pascal Kerschke

aut

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ParamHelpers archive

Imports

backports
BBmisc ≥ 1.10
checkmate ≥ 1.8.2
fastmatch
methods

Suggests

interp
covr
eaf
emoa
GGally
ggplot2
grid
gridExtra
irace ≥ 2.1
lhs
plyr
reshape2
testthat

Reverse Depends

cmaesr
ecr
mlr
mlrCPO
mlrMBO
smoof

Reverse Imports

aslib
CEGO
DriveML
mosmafs
tramnet
tuneRanger
varycoef

Reverse Suggests

bnclassify
ChemoSpec2D
dynparam
flacco
irace
llama
mlrintermbo
OmnipathR
OpenML