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
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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Answers
1)多项式回归
2) Vector Linear Regression
3) Logistic Regression
For further discussion please refer to these processes adjusted to your needs.