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ParamHelpers (version 1.0-54)

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

Description

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

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Version

Install

install.packages('ParamHelpers')

Monthly Downloads

11,214

Version

1.0-54

License

BSD

Maintainer

Bernd Bischl

Last Published

June 1st, 2012

Functions in ParamHelpers (1.0-54)

LearnerParam

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

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

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

Create a description object for a parameter.
addOptPathEl

Add a new element to an optimization path.
filterParams

Get parameter subset of only certain parameters.
getOptPathY

Get y vector from the optimization path.
getUpper

Get upper bounds for numerical / integer parameters.
paramValueToString

Convert a value to a string.
trafoValue

Transform a value.
getLower

Get lower bounds for numerical / integer parameters.
getParamLengths

Return lengths of parameters in parameter set.
makeParamSet

Construct a parameter set from a bunch of parameters.
trafoOptPath

Transform optimization path.
getOptPathEl

Get an element from the optimization path.
sampleValues

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

Check if parameter value is valid.
generateDesign

Generates a statistical design for a parameter set.
getValues

Get possible values for discrete parameters.
getOptPathLength

Get the length of the optimization path.
getParamIds

Return ids of parameters in parameter set.
setOptPathElDOB

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

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

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

Create optimization path.
getOptPathBestIndex

Get index of the best element from optimization path.