[scikit-learn] Any model can predict multiple trend from hierarchical data?

[lampahome]

My hierarchical data are about sell numbers of 3 hot drinks and 3 cold
drinks each month.

Generally, cluster them into two group which one contain hot and another
contains cold is better.

But I don't want to cluster.

When I study about sklearn.linear_model, I found they can only predict one
trend for both hot and cold pattern. The trend of hot and cold is the same.

But that make sense because it's "linear" model which suitable for linear
separable data.

Now, I want to predict different trend for hot and cold drink with only one
model.

If I have many features as I can, is there any model able to predict
multiple patterns from hierarchical data?

PS: under the condition that has no noise, data only conatin each trend of
each kind of drink.


thx
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