Relational Boosted Regression Trees

07/25/2021
by   Sonia Cromp, et al.
0

Many tasks use data housed in relational databases to train boosted regression tree models. In this paper, we give a relational adaptation of the greedy algorithm for training boosted regression trees. For the subproblem of calculating the sum of squared residuals of the dataset, which dominates the runtime of the boosting algorithm, we provide a (1 + ϵ)-approximation using the tensor sketch technique. Employing this approximation within the relational boosted regression trees algorithm leads to learning similar model parameters, but with asymptotically better runtime.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset