mlpack 3.2.0
Released Sept. 25, 2019.
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Fix occasionally-failing RADICAL test (#1924).
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Fix gcc 9 OpenMP compilation issue (#1970).
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Added support for loading and saving of images (#1903).
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Added functionality for scaling of data (#1876); see the command-line binding
mlpack_preprocess_scale
or Python bindingpreprocess_scale()
. -
Add new parameter
maximum_depth
to decision tree and random forest bindings (#1916). -
Fix prediction output of softmax regression when test set accuracy is calculated (#1922).
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Pendulum environment now checks for termination. All RL environments now have an option to terminate after a set number of time steps (no limit by default) (#1941).
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Add support for probabilistic KDE (kernel density estimation) error bounds when using the Gaussian kernel (#1934).
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Fix negative distances for cover tree computation (#1979).
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Fix cover tree building when all pairwise distances are 0 (#1986).
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Improve KDE pruning by reclaiming not used error tolerance (#1954, #1984).
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Optimizations for sparse matrix accesses in z-score normalization for CF (#1989).
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Add
kmeans_max_iterations
option to GMM training bindinggmm_train_main
. -
Bump minimum Armadillo version to 8.400.0 due to ensmallen dependency requirement (#2015).