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Accord.NET v2.15.0 Release Notes

Release Date: 2015-05-01 // about 9 years ago

  • 🚀 > Build 2.15.0.5233, released on 01.05.2014

    🚀 Accord.NET Framework 2.15.0 release notes

    01.05.2015.

    🔖 Version updates and fixes:

    • GC-56: Reuse decision attributes in the C4.5 algorithm for decision trees;
    • ⚡️ GC-109: The GoldfarbIdnani optimizer does not optimize well some problems;
    • ✅ GH-24: Disentangling unit test projects and adding a LGPL-only project;
    • GH-57: Decision trees created using C4.5 depends on the sorting order;
    • GH-58: SURF detector might generate Divide By Zero exceptions;
    • GH-60: Regularization breaks LogisticRegressionAnalysis in 2.14;
    • GH-61: SVM code that worked with version 2.11 now fails to converge;
    • 👻 GH-64: Exception in KPCA when using jagged matrices;
    • GH-69: Fix K-Means deserialization between framework versions.
    • General
      • Upgrading solution to VS2013 and adding support for .NET 4.5;
      • Packaging scripts can now create NuGet symbol packages;
      • The framework can now be built using Mono.
    • Accord.Statistics
      • Correcting Circular statistics' AngularDeviation method;
      • Correcting kernel profile functions and their gradient;
      • Improving the precision of the Binomial distribution;
      • Improving sample generation for Poisson and Rayleigh distributions;
      • Updating all univariate distributions to support sample generation;
      • Making sure all probability distributions implement IFormattable;
      • Adding Generalized Beta distribution with PERT estimation;
      • Adding the von-Mises Fisher distribution for circular data;
      • Adding sample generation in Beta and Generalized Beta distributions;
      • Adding estimation using the Method-of-moments and Maximum Likelihood;
      • Adding support for weighted samples in LogisticRegressionAnalysis;
      • Adding a named constructor to create an Analysis from summary data;
      • Adding all missing Shapiro-Wilk distribution's methods;
      • Adding a common interface for radial basis function kernels;
      • Adding a new generic Gaussian kernel for creating composite kernels;
      • Adding a Windowing filter in the Statistics filters namespace;
      • Adding support for weighted samples in LogisticRegressionAnalysis;
      • Adding a named constructor to create an Analysis from summary data;
      • Adding Multinomial Logistic Regression Analysis.
    • Accord.Math
      • Updating Augmented Lagragian to detect more accurately
        when the inner optimization algorithm has diverged;
      • Adding a new Fast Fourier Transform (FFT) implementation for general
        matrices and vectors whose dimensions are not necessarily powers of 2;
      • Adding Hellinge and Levenshtein distances for generic arrays;
      • Adding jagged-matrix version of the QR and Eigenvalue decompositions.
    • Accord.MachineLearning
      • Updating tree inducing algorithms (ID3 and C4.5) se they can reuse
        decision variables multiple times when creating a decision tree;
      • Correcting Levenberg-Marquardt's chain-rule Jacobian calculation
        when there are many output neurons in the learned neural network;
      • Updating the way SVM learning algorithms detect whether a machine is linear or not;
      • Updating SVM learning algorithms to use an heuristic value for
        0️⃣ C by default unless it has been manually specified by the user;
      • Updating the linear kernels so they are created without a constant term by default;
      • Improving multi-class SVM to generate more user-friendly stack traces when
        👻 an exception occurs during the learning of one of the binary sub-problems;
      • Updating Kd-Trees to use interval heaps instead of general .NET structures;
      • Adding Nu-SVMs based on LibSVM's quadratic programming solver.
    • Accord.Neuro
      • Updating Levenberg-Marquardt to avoid setting lambda to zero.
    • Accord.Imaging
      • Updating IntegralImage to work with In64 matrices to avoid overflows;
      • Correcting Variance, Sauvola and Niblack threshold filters;
      • Adding Fast Variance, Wolf-Joulion Threshold, RG Chromaticity and
        Objective fidelity filters.
    • Accord.IO
      • Integrating and repackaging Sebastien Lorion's Fast CSV Reader into the Accord.IO
        👍 namespace with an added support for auto-detecting the file's field delimiter.
    • Accord.Audio
      • Adding IWindow apply overloads to operate directly on double[] vectors;
      • Adding Sine and Custom signal generators and correcting existing ones.
    • Sample applications
      • Adding feature selection sample application using L1-regularized logistic SVMs;
      • Correcting the display of all sample applications in high-DPI displays.