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joker
  • Member for 10 years, 7 months
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t-SNE Python implementation: Kullback-Leibler divergence
Essentially what I could do is to set self.error = error at the end of _tsne(), in order to retrieve it from the TSNE instance afterwards. Yes, but that would mean changing sklearn.manifold code, and I was wondering if the developers thought of some other ways to get the information or if not why they didn't (i.e.: is 'error' considered useless by them?). Furthermore, if I changed that code I would need all the people running my code to have the same hack on their sklearn installations. Is that what you suggest, or did I get it wrong?
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