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[WIP] Metric Learning :: NCA#4789

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artsobolev wants to merge 31 commits intoscikit-learn:masterscikit-learn/scikit-learn:masterfrom

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Commits on May 29, 2015

• Vectorized implementation of NCA

  

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• Merge branch 'master' of github.com:scikit-learn/scikit-learn into metric-learning

  

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• Let SciPy decide which method to use

  

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• Adds adagrad

  

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• Adds loopy NCA optimizer (without memory overhead)

  

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• Bugfixes and fancy debug output

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Commits on May 30, 2015

• Semi-vectorized NCA oracle, merged adagrad and gd

  

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Commits on May 31, 2015

• Major update

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• Simple benchmark

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• Replace tol with gtol for scipy's optimizer

  

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• Fixes PyCharm warnings

  

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Commits on Jun 1, 2015

• Replace expensive multiply-sum with fast np.einsum

  

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Commits on Jun 2, 2015

• Make oracle non-nested function to facilitate profiling

  

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Commits on Jun 3, 2015

• Get rid of lambdas, vectorize logsumexp

  

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• Merge branch 'master' of github.com:scikit-learn/scikit-learn into metric-learning

  

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• Vectorized np.exp in semivectorized version

  

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• Reuse euclidean_distances

  

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Commits on Jun 4, 2015

• Adds euclidean_distances to vectorized version

  

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Commits on Jun 5, 2015

• Arguments rename, basic implementation of stochastic solver

  

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• Some documentation

  

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Commits on Jun 7, 2015

• Fixes

  

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Commits on Jun 9, 2015

• Adds threshold parameter

  

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• Reworked benchmark

  

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• Merge branch 'master' of github.com:scikit-learn/scikit-learn into metric-learning

  

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Commits on Jun 14, 2015

• New benchmark, fix for loss calculation

  

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Commits on Jun 22, 2015

• Mean execution time

  

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• Propagate L inside

  

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Commits on Jun 24, 2015

• Propagate L flag, debug facilities, optimizations

  

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Commits on Jun 27, 2015

• Combine semivectorized and stochastic methods

  

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• Fix minor warnings

  

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• Merge branch 'master' of github.com:scikit-learn/scikit-learn into HEAD

  

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