<commit_before>2014-01-06    mlpack 1.0.8

  * Memory leak in NeighborSearch index-mapping code fixed (#310).

  * GMMs can be trained using the existing model as a starting point by
    specifying an additional boolean parameter to GMM::Estimate() (#308).

  * Logistic regression implementation added in methods/logistic_regression (see
    also #305).

  * L-BFGS optimizer now returns its function via Function().

  * Version information is now obtainable via mlpack::util::GetVersion() or the
    __MLPACK_VERSION_MAJOR, __MLPACK_VERSION_MINOR, and  __MLPACK_VERSION_PATCH
    macros (#309).

  * Fix typos in allkfn and allkrann output.

2013-10-04    mlpack 1.0.7

  * Cover tree support for range search (range_search), rank-approximate nearest
    neighbors (allkrann), minimum spanning tree calculation (emst), and FastMKS
    (fastmks).
<commit_msg>Ticket #314 resulted in a bunch of useful changes.<commit_after>????-??-??    mlpack 1.0.9

  * GMM initialization is now safer and provides a working GMM when constructed
    with only the dimensionality and number of Gaussians (#314).

  * Check for division by 0 in Forward-Backward Algorithm in HMMs (#314).

  * Fix MaxVarianceNewCluster (used when re-initializing clusters for k-means)
    (#314).

2014-01-06    mlpack 1.0.8

  * Memory leak in NeighborSearch index-mapping code fixed (#310).

  * GMMs can be trained using the existing model as a starting point by
    specifying an additional boolean parameter to GMM::Estimate() (#308).

  * Logistic regression implementation added in methods/logistic_regression (see
    also #305).

  * L-BFGS optimizer now returns its function via Function().

  * Version information is now obtainable via mlpack::util::GetVersion() or the
    __MLPACK_VERSION_MAJOR, __MLPACK_VERSION_MINOR, and  __MLPACK_VERSION_PATCH
    macros (#309).

  * Fix typos in allkfn and allkrann output.

2013-10-04    mlpack 1.0.7

  * Cover tree support for range search (range_search), rank-approximate nearest
    neighbors (allkrann), minimum spanning tree calculation (emst), and FastMKS
    (fastmks).

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