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Both the shogun and pure Python implementations of LMNN use the BaseMetricLearner (superclass) implementation of transform() and metric(), so no action is required here.
Going by the current implementation, it lacks a transform() and metric() for the Shogun wrapping implementation of the LMNN.
In case it is required / Unless someone is currently working on it, I would like to work on it.
Open to suggestions!
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