mlpack v1.0.11 Release Notes

  • 2014-12-11
    • Proper handling of dimension calculation in PCA.

    • Load parameter vectors properly for LinearRegression models.

    • Linker fixes for AugLagrangian specializations under Visual Studio.

    • Add support for observation weights to LinearRegression.

    • MahalanobisDistance<> now takes the root of the distance by default and therefore satisfies the triangle inequality (TakeRoot now defaults to true).

    • Better handling of optional Armadillo HDF5 dependency.

    • Fixes for numerous intermittent test failures.

    • math::RandomSeed() now sets the random seed for recent (>=3.930) Armadillo versions.

    • Handle Newton method convergence better for SparseCoding::OptimizeDictionary() and make maximum iterations a parameter.

    • Known bug: CosineTree construction may fail in some cases on i386 systems (#358).