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mlpack v3.1.1 Release Notes

Release Date: 2019-05-27 // almost 5 years ago

  • 🚀 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).