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mlpack 3.1.1
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@rcurtin rcurtin released this 27 May 03:00
· 9276 commits to master since this release
mlpack-3.1.1
78cab8b

Released May 26, 2019.

  • Fix random forest bug for numerical-only data (#1887).
  • Significant speedups for random forest (#1887).
  • Random forest now has minimum_gain_split and subspace_dim parameters (#1887).
  • Decision tree parameter print_training_error deprecated in favor of print_training_accuracy.
  • output option changed to predictions for adaboost and perceptron binding. Old options are now deprecated and will be preserved until mlpack 4.0.0 (#1882).
  • Concatenated ReLU layer (#1843).
  • Accelerate NormalizeLabels function using hashing instead of linear search (see src/mlpack/core/data/normalize_labels_impl.hpp) (#1780).
  • Add ConfusionMatrix() function for checking performance of classifiers (#1798).
  • Install ensmallen headers when it is downloaded during build (#1900).
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