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Difference OptimizeAttributes vs. OptimizeWeights

Hi,
i want to optimize the Attributeset for a neural net.
My question is simple: Why should one choose the OptimizeAttributes-Operator over the OptimizeWeights-Operator? The OptimizeWeights-Operator does also return a subset of usefull Attributes, because it sets not useful attribute's weights to 0. So both operators leave you with a subset of attributes, but the WeightOptimizer additionally optimizes the weights. Is there a usecase, where this is not favorable?

Thank you very much,
Julian

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fischer

Hi,

I cannot find an OptimizeAttributes operator in my RapidMiner.

Best,
Simon

haddock

Isn't he called Ingo ;D ?

chaosbringer

Uh, sorry i meant Optimize Selection Operator. The operator that optimizes the attribute sets.
Anyhow, i think my question falls into the category "dumb beginner question", and therefore is obsolete.

fischer

Hi,

I wouldn't say this is a "dumb" question :-) If I understand you correctly, your problems are solved, right? You can also have a look at the sample processes, I think the operators are used there as well.

Best,
Simon