Adds a better method for accessing the centroids of a KMeansModel #98
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…atibility with 4.0 releases.
…ting the tutorial to use it and K-Means++.
… at the new method.
…it breaks backwards compatibility with provenance from 4.0.
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Description
Adds
KMeansModel.getCentroidswhich returns aList<List<Feature>>. The oldgetCentroidVectorsmethod requires the user to do the mapping from internal feature indices to feature names themselves, and the indices should never be required to use the library. I've updated the clustering tutorial to use the new method and also the K-Means++ initialisation added after the 4.0 release.Motivation
Adds the new centroid accessor. It also fixes a compatibility bug as
KMeansTrainerhad it's constructor changed in a backwards incompatible way, so a constructor with the correct signature was added.This is an improvement discussed in #72.