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Missing parameters in EvolutionaryParameterOptimization

chris_mlchris_ml Member Posts: 17 Maven
edited November 2018 in Help
Hi,

for some learners the EvolutionaryParameterOptimization operator does not allow
to evaluate all possible parameters. For example, for BestRuleInduction the parameter
"utility_function" cannot be evaluated. Are there any reasons for that?

Cheers,
Chris

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    landland RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 2,531 Unicorn
    Hi Chris,
    is is due to the fact, that the evolutionary parameter optimization only supports numerical values.
    But you simply could wrap the evolutionary optimization within a grid optimization switching this two values. This will result in an equivalent behavior.

    Greetings,
      Sebastian
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