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Multi Label Regression?

Hi together,

my dataset looks the following:

- numerous numeric and (poly)nomial Attributes
- set of numeric labels

For this regression problem I'd be thankful for any hints on operators that allow multiple labels. In know that I can solve this by making processes for each label, but since the number of labels is quite high, I'd prefer an operator that would cover that.

So are there any multi label regression operators except for "vector linear regression"?

Thanks
Felix

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horstmaen

nobody any ideas? :-\

fras

Please consider example processes attached to the help of the following operators:
1) Polynominal Regression
2) Vector Linear Regression
3) Logistic Regression

For further discussion please refer to these processes adjusted to your needs.

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