Mlpack

_2018-03-30_

* Speed and memory improvements for DBSCAN. --single_mode can now be used for
situations where previously RAM usage was too high.

* Bump minimum required version of Armadillo to 6.500.0.

* Add automatically generated Python bindings. These have the same interface
as the command-line programs.

* Add deep learning infrastructure in src/mlpack/methods/ann/.

* Add reinforcement learning infrastructure in
src/mlpack/methods/reinforcement_learning/.

* Add optimizers: AdaGrad, CMAES, CNE, FrankeWolfe, GradientDescent,
GridSearch, IQN, Katyusha, LineSearch, ParallelSGD, SARAH, SCD, SGDR,
SMORMS3, SPALeRA, SVRG.

* Add hyperparameter tuning infrastructure and cross-validation infrastructure
in src/mlpack/core/cv/ and src/mlpack/core/hpt/.

* Fix bug in mean shift.

* Add random forests (see src/mlpack/methods/random_forest).

* Numerous other bugfixes and testing improvements.

* Add randomized Krylov SVD and Block Krylov SVD.

_2017-08-25_

* Compilation fix for some systems (1082).

* Fix PARAM_INT_OUT() (1100).

_2017-07-18_

* Speed and memory improvements for DBSCAN. --single_mode can now be used for
situations where previously RAM usage was too high.

* Fix bug in CF causing incorrect recommendations.

_2017-05-24_

* Bug fix for --predictions_file in mlpack_decision_tree program.

_2017-05-04_

* Install backwards-compatibility mlpack_allknn and mlpack_allkfn programs;
note they are deprecated and will be removed in mlpack 3.0.0 (992).

* Fix RStarTree bug that surfaced on OS X only (964).

* Small fixes for MiniBatchSGD and SGD and tests.

_2017-04-13_

* Compilation fix for mlpack_nca and mlpack_test on older Armadillo versions
(984).