Retrieve the Paramater Configurations for the given ids from the mlrHyperopt servers.

downloadParConfigs(ids = NULL, learner.class = NULL, learner.name = NULL,
  custom.query = NULL)

Arguments

ids

[character] One ore more unique identifiers of the Parameter Set

learner.class

[character(1)] The learner.class you want to download the Parameter Configrations for.

learner.name

[character(1)] The learner.name you want to download the Parameter Configrations for.

custom.query

[list(2)] List of the form list(key = "key", value = "value") for custom queries.

Value

[List of ParConfigs]

Examples

par.configs = downloadParConfigs(learner.name = "svm") print(par.configs)
#> [[1]] #> Parameter Configuration #> Parameter Values: cachesize=100, tolerance=0.01 #> Associated Learner: classif.svm #> Parameter Set: #> Type len Def Constr Req Tunable Trafo #> cost numeric - - 0 to 15 - TRUE - #> degree integer - 3 1 to Inf Y TRUE - #> gamma numeric - - -5 to 5 - TRUE Y #> kernel discrete - - polynomial,radial - TRUE - #> #> [[2]] #> Parameter Configuration #> Parameter Values: #> Associated Learner: svm #> Parameter Set: #> Type len Def Constr Req Tunable Trafo #> cost numeric - 0 -15 to 15 - TRUE Y #> gamma numeric - log2(1/p) -15 to 15 - TRUE Y #> #> [[3]] #> Parameter Configuration #> Parameter Values: #> Associated Learner: svm #> Parameter Set: #> Type len Def Constr Req Tunable Trafo #> cost numeric - 0 -15 to 15 - TRUE Y #> gamma numeric - log2(1/p) -15 to 15 - TRUE Y #>