Suppose I want to create a regression tree accepting both continuous linear
data and circular data. If I implement a new RegressionCriterion specific
for circular data, how difficult would it be to grow a tree combining to
different Criterions (ie MSE and the new CircularCriterion)?
I suppose the main complexity will come having to tag my variables as
[normal, circular] to be treated by the appropriate Criterion, but how
difficult this might be?
I want to create a tree model with this features and I would like to reuse
this great scikit implementation of trees instead of start building
something from scratch. Any suggestion or recommendation is highly
appreciated.
Cheers,
Pablo
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