Retrieve the Paramater Configurations for the given ids from the mlrHyperopt servers.
downloadParConfigs(ids = NULL, learner.class = NULL, learner.name = NULL, custom.query = NULL)
ids | [ |
---|---|
learner.class | [ |
learner.name | [ |
custom.query | [ |
[List of ParConfig
s]
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 #>