Package: paradox 1.0.1

Martin Binder

paradox: Define and Work with Parameter Spaces for Complex Algorithms

Define parameter spaces, constraints and dependencies for arbitrary algorithms, to program on such spaces. Also includes statistical designs and random samplers. Objects are implemented as 'R6' classes.

Authors:Michel Lang [aut], Bernd Bischl [aut], Jakob Richter [aut], Xudong Sun [aut], Martin Binder [aut, cre], Marc Becker [ctb]

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NEWS

# Install 'paradox' in R:
install.packages('paradox', repos = c('https://mlr-org.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mlr-org/paradox/issues

On CRAN:

experimental-designhyperparametersmlr3transformations

11.60 score 29 stars 35 packages 330 scripts 7.0k downloads 43 exports 6 dependencies

Last updated 4 months agofrom:cdcc8e616a (on v1.0.1). Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winOKNov 14 2024
R-4.5-linuxOKNov 14 2024
R-4.4-winOKNov 14 2024
R-4.4-macOKNov 14 2024
R-4.3-winOKNov 14 2024
R-4.3-macOKNov 14 2024

Exports:as.data.tableassert_param_setCondAnyOfCondEqualConditioncondition_as_stringdefault_valuesDesigndomain_assertdomain_checkdomain_is_boundeddomain_is_categdomain_is_numberdomain_nlevelsdomain_qunifdomain_sanitizedomain_testgenerate_design_gridgenerate_design_lhsgenerate_design_randomgenerate_design_sobolNO_DEFp_dblp_fctp_intp_lglp_utyParamSetParamSetCollectionpsps_replicateps_unionpscSamplerSampler1DSampler1DCategSampler1DNormalSampler1DRfunSampler1DUnifSamplerHierarchicalSamplerJointIndepSamplerUnifto_tune

Dependencies:backportscheckmatedata.tabledigestmlr3miscR6

In Depth Tutorial

Rendered fromindepth.Rmdusingknitr::rmarkdownon Nov 14 2024.

Last update: 2024-06-10
Started: 2023-06-21