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ParamHelpers (version 1.1-36)

Helpers for parameters in black-box optimization, tuning and machine learning.

Description

A small package containing useful functions for parameter descriptions and operations in black-box optimization, tuning and machine learning.

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Version

Install

install.packages('ParamHelpers')

Monthly Downloads

8,278

Version

1.1-36

License

BSD_3_clause + file LICENSE

Maintainer

Bernd Bischl

Last Published

August 28th, 2013

Functions in ParamHelpers (1.1-36)

Param

Create a description object for a parameter.
filterParams

Get parameter subset of only certain parameters.
setOptPathElEOL

Set the end of life dates of parameter values, in-place.
makeOptPathDF

Create optimization path.
getOptPathEl

Get an element from the optimization path.
getParamLengths

Return lengths of parameters in parameter set.
getUpper

Get upper bounds for numerical / integer parameters.
addOptPathEl

Add a new element to an optimization path.
getOptPathDOB

Get date-of-birth vector from the optimization path.
hasRequires

Check parameter / parameter set for requirements / dependencies.
isFeasible

Check if parameter value is valid.
makeParamSet

Construct a parameter set.
getLower

Get lower bounds for numerical / integer parameters.
paramValueToString

Convert a value to a string.
discreteNameToValue

Convert encoding name(s) to discrete value(s).
trafoValue

Transform a value.
dfRowToList

Convert a data.frame row to list of parameter-value-lists.
getOptPathY

Get y vector from the optimization path.
setOptPathElDOB

Set the dates of birth of parameter values, in-place.
discreteValueToName

Convert discrete value(s) to encoding name(s).
getValues

Get possible values for discrete parameters.
generateDesign

Generates a statistical design for a parameter set.
sampleValue

Sample a random value from a parameter or a parameter set uniformly.
getParamIds

Return ids of parameters in parameter set.
trafoOptPath

Transform optimization path.
removeMissingValues

Removes all scalar NAs from a parameter setting list.
getOptPathLength

Get the length of the optimization path.
convertParamSetToIrace

Converts a ParamSet object to a parameter object of the irace package.
sampleValues

Sample n random values from a parameter or a parameter set uniformly.
getOptPathBestIndex

Get index of the best element from optimization path.
LearnerParam

Create a description object for a parameter of a machine learning algorithm.
getOptPathEOL

Get end-of-life vector from the optimization path.