Mlpack

Latest version: v4.3.0.post2

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2.2.3

2017-05-24
* Bug fix for --predictions_file in mlpack_decision_tree program.

2.2.2

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.

2.2.1

2017-04-13
* Compilation fix for mlpack_nca and mlpack_test on older Armadillo versions
(984).

2.2.0

2017-03-21
* Bugfix for mlpack_knn program (816).

* Add decision tree implementation in methods/decision_tree/. This is very
similar to a C4.5 tree learner.

* Add DBSCAN implementation in methods/dbscan/.

* Add support for multidimensional discrete distributions (810, 830).

* Better output for Log::Debug/Log::Info/Log::Warn/Log::Fatal for Armadillo
objects (895, 928).

* Refactor categorical CSV loading with boost::spirit for faster loading
(681).

2.1.1

2016-12-22
* HMMs now use random initialization; this should fix some convergence issues
(828).

* HMMs now initialize emissions according to the distribution of observations
(833).

* Minor fix for formatted output (814).

* Fix DecisionStump to properly work with any input type.

2.1.0

2016-10-31
* Fixed CoverTree to properly handle single-point datasets.

* Fixed a bug in CosineTree (and thus QUIC-SVD) that caused split failures for
some datasets (717).

* Added mlpack_preprocess_describe program, which can be used to print
statistics on a given dataset (742).

* Fix prioritized recursion for k-furthest-neighbor search (mlpack_kfn and the
KFN class), leading to orders-of-magnitude speedups in some cases.

* Bump minimum required version of Armadillo to 4.200.0.

* Added simple Gradient Descent optimizer, found in
src/mlpack/core/optimizers/gradient_descent/ (792).

* Added approximate furthest neighbor search algorithms QDAFN and
DrusillaSelect in src/mlpack/methods/approx_kfn/, with command-line program
mlpack_approx_kfn.

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