mlpack v1.0.11 Release Notes
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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).