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

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

## Documentation for package ‘ParamHelpers’ version 1.14.2

- DESCRIPTION file
- Package NEWS

## Help Pages

A C D E F G H I L M O P R S T U

## -- A --

addOptPathEl | Add a new element to an optimization path.
as.data.frame.OptPathDF | Convert optimization path to data.frame.

## -- C --

checkParamSet | Sanity check expressions of a parameter set.
convertParamSetToIrace | Converts a ParamSet object to a parameter object of the irace package.

## -- D --

dfRowsToList | Convert a data.frame row to list of parameter-value-lists.
dfRowToList | Convert a data.frame row to list of parameter-value-lists.
discreteNameToValue | Convert encoding name(s) to discrete value(s).
discreteValueToName | Convert discrete value(s) to encoding name(s).
dropParams | Drop Params from ParamSet by ids.

## -- E --

evaluateParamExpressions | Evaluates all expressions within a parameter.

## -- F --

filterParams | Get parameter subset of only certain parameters.
filterParamsDiscrete | Get parameter subset of only certain parameters.
filterParamsNumeric | Get parameter subset of only certain parameters.

## -- G --

generateDesign | Generates a statistical design for a parameter set.
generateDesignOfDefaults | Generates a design with the defaults of a parameter set.
generateGridDesign | Generates a grid design for a parameter set.
generateRandomDesign | Generates a random design for a parameter set.
getDefaults | Return defaults of parameters in parameter set.
getLower | Get lower / upper bounds and allowed discrete values for parameters.
getOptPathBestIndex | Get index of the best element from optimization path.
getOptPathCol | Get column from the optimization path.
getOptPathCols | Get columns from the optimization path.
getOptPathDOB | Get date-of-birth vector from the optimization path.
getOptPathEl | Get an element from the optimization path.
getOptPathEOL | Get end-of-life vector from the optimization path.
getOptPathErrorMessages | Get error-message vector from the optimization path.
getOptPathExecTimes | Get exec-time vector from the optimization path.
getOptPathLength | Get the length of the optimization path.
getOptPathParetoFront | Get indices of pareto front of optimization path.
getOptPathX | Get data.frame of input points (X-space) referring to the param set from the optimization path.
getOptPathY | Get y-vector or y-matrix from the optimization path.
getParamIds | Return ids of parameters in parameter set.
getParamLengths | Return lengths of single parameters or parameters in parameter set.
getParamNr | Return number of parameters in set.
getParamSet | Get parameter set.
getParamTypeCounts | Returns information on the number of parameters of a each type.
getParamTypes | Returns type information for a parameter set.
getRequirements | Return all require-expressions of a param set.
getTypeStrings | Get parameter type-strings.
getTypeStringsAll | Get parameter type-strings.
getTypeStringsCharacter | Get parameter type-strings.
getTypeStringsDiscrete | Get parameter type-strings.
getTypeStringsInteger | Get parameter type-strings.
getTypeStringsLogical | Get parameter type-strings.
getTypeStringsNumeric | Get parameter type-strings.
getTypeStringsNumericStrict | Get parameter type-strings.
getUpper | Get lower / upper bounds and allowed discrete values for parameters.
getValues | Get lower / upper bounds and allowed discrete values for parameters.

## -- H --

hasCharacter | Check whether parameter set contains a certain type.
hasDiscrete | Check whether parameter set contains a certain type.
hasExpression | Check if parameter values contain expressions.
hasFiniteBoxConstraints | Checks if a parameter or each parameter of a parameter set has ONLY finite lower and upper bounds.
hasForbidden | Check parameter set for forbidden region.
hasInteger | Check whether parameter set contains a certain type.
hasLogical | Check whether parameter set contains a certain type.
hasNumeric | Check whether parameter set contains a certain type.
hasRequires | Check parameter / parameter set for requirements / dependencies.
hasTrafo | Check parameter / parameter set for trafos.
hasType | Check whether parameter set contains a certain type.

## -- I --

isCharacter | Check parameter / parameter set contain ONLY a certain type.
isCharacterTypeString | Check if type string is of certain type.
isDiscrete | Check parameter / parameter set contain ONLY a certain type.
isDiscreteTypeString | Check if type string is of certain type.
isEmpty | Check whether parameter set is empty.
isFeasible | Check if parameter value is valid.
isForbidden | Check whether parameter setting lies in forbidden region of parameter set.
isInteger | Check parameter / parameter set contain ONLY a certain type.
isIntegerTypeString | Check if type string is of certain type.
isLogical | Check parameter / parameter set contain ONLY a certain type.
isLogicalTypeString | Check if type string is of certain type.
isNumeric | Check parameter / parameter set contain ONLY a certain type.
isNumericTypeString | Check if type string is of certain type.
isRequiresOk | Check if parameter requirements are met.
isSpecialValue | Is a given value in the list of special values for a param?
isType | Check parameter / parameter set contain ONLY a certain type.
isTypeString | Check if type string is of certain type.
isVector | Check parameter / parameter set for vector params.
isVectorTypeString | Check if type string is of certain type.

## -- L --

LearnerParam | Create a description object for a parameter of a machine learning algorithm.
listToDfOneRow | Convert a list to a data.frame with one row

## -- M --

makeCharacterParam | Create a description object for a parameter.
makeCharacterVectorParam | Create a description object for a parameter.
makeDiscreteLearnerParam | Create a description object for a parameter of a machine learning algorithm.
makeDiscreteParam | Create a description object for a parameter.
makeDiscreteVectorLearnerParam | Create a description object for a parameter of a machine learning algorithm.
makeDiscreteVectorParam | Create a description object for a parameter.
makeFunctionLearnerParam | Create a description object for a parameter of a machine learning algorithm.
makeFunctionParam | Create a description object for a parameter.
makeIntegerLearnerParam | Create a description object for a parameter of a machine learning algorithm.
makeIntegerParam | Create a description object for a parameter.
makeIntegerVectorLearnerParam | Create a description object for a parameter of a machine learning algorithm.
makeIntegerVectorParam | Create a description object for a parameter.
makeLogicalLearnerParam | Create a description object for a parameter of a machine learning algorithm.
makeLogicalParam | Create a description object for a parameter.
makeLogicalVectorLearnerParam | Create a description object for a parameter of a machine learning algorithm.
makeLogicalVectorParam | Create a description object for a parameter.
makeNumericLearnerParam | Create a description object for a parameter of a machine learning algorithm.
makeNumericParam | Create a description object for a parameter.
makeNumericParamSet | Construct a parameter set.
makeNumericVectorLearnerParam | Create a description object for a parameter of a machine learning algorithm.
makeNumericVectorParam | Create a description object for a parameter.
makeOptPathDF | Create optimization path.
makeParamSet | Construct a parameter set.
makeUntypedLearnerParam | Create a description object for a parameter of a machine learning algorithm.
makeUntypedParam | Create a description object for a parameter.

## -- O --

OptPath | Create optimization path.
OptPathDF | Create optimization path.

## -- P --

Param | Create a description object for a parameter.
ParamSet | Construct a parameter set.
paramValueToString | Convert a value to a string.
plotEAF | Plots attainment functions for data stored in multiple OptPaths.
plotOptPath | Plot method for optimization paths.
plotYTraces | Plots Y traces of multiple optimization paths

## -- R --

removeMissingValues | Removes all scalar NAs from a parameter setting list.
renderOptPathPlot | Function for plotting optimization paths.
renderYTraces | Plots Y traces of multiple optimization paths
repairPoint | Repairs values of numeric and integer parameters out side of constraints.

## -- S --

sampleValue | Sample a random value from a parameter or a parameter set uniformly.
sampleValues | Sample n random values from a parameter or a parameter set uniformly.
setOptPathElDOB | Set the dates of birth of parameter values, in-place.
setOptPathElEOL | Set the end of life dates of parameter values, in-place.
setValueCNames | Set components names for vector names

## -- T --

trafoOptPath | Transform optimization path.
trafoValue | Transform a value.

## -- U --

updateParVals | Insert par.vals to old ones with meeting requirements