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A clarification on the meaning of "lazy learning" is provided by the definition of the opposed term "eager learning", according with wikipedia ... a learning method in which the system tries to construct a general, input-independent target function during training ... In other words a learner which collects the training data and use it directly at ...


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So I think if I understand you correctly, what you are trying to do is to sample points from $B$ according to the distribution of $A$. In which case I would take a different approach to what you have laid out here. First of all you talked about label encoding $A$ and then doing a KDE. I don't think this makes sense unless your categorical variables can ...


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In your question you claim: "To my understanding the local linear regression allows the slope to differ on either side of the cut-point (but it is a straight, linear line on both sides)". This is not true. A local linear regression is a nonparamteric estimator and it can approximate nonlinearities in a large class of functions. What you refer to is what you ...


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