Hi All,
I am an undergraduate student who has worked on machine learning projects
using sklearn. I recently came across a paper published by a few
researchers Microsoft Research about decision jungles. To put it briefly,
randomized decision trees face a problem that given a lot of data, the
number of nodes in the decision trees will grow in depth. Decision Jungles
addresses this problem by introducing the idea of ensembles of DAGs. I
thought that this can be implemented in sklearn and I personally think its
useful. I might be applying for GSOC 15.
-Meghana
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