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Accord.NET v3.6.0 Release Notes

Release Date: 2017-08-20 // over 6 years ago

  • 🚀 Accord.NET Framework 3.6.0 release notes

    09.07.2017.

    🔖 Version updates and fixes:

    • GH-168: Text naive bayes classification gives wrong results;
    • 👍 GH-207: ResizeBilinear filter can support more pixel formats;
    • 👻 GH-259: K-means clustering exception;
    • 👍 GH-318: Adding support for .NET Standard 2.0;
    • ✅ GH-389: Wilcoxon Signed Rank Test / Mann-Whitney-Wilcoxon Test - differences to R;
    • ⬆️ GH-407: Upgrade to NUnit 3;
    • GH-470: Multiclass SVM and DTW System.AggregateException;
    • GH-499: Add an example for K-means with mixed categorical and continuous data;
    • GH-540: Add an example for BaumWelchLearning(TDistribution, TObservation, TOptions) Class;
    • GH-549: Multithreaded BagOfVisualWords: "memory corrupt" problem;
    • GH-571: Accord.Controls is referencing wrong version of ZedGraph on NuGet;
    • GH-602: Robust multivariate regression causes IndexOutOfRangeException;
    • GH-605: Renaming AudioCodec.M4A to AudioCodec.MP4ALS;
    • GH-604: ColorSlider component resource path's fix;
    • GH-606: LowerBoundNewtonRaphson: how to check if converged;
    • GH-607: from perezale/aleperez-development;
    • GH-611: Framerate issues when transcoding video;
    • GH-614: Index out of bounds error in SingularValueDecomposition.Solve;
    • GH-619: AugmentedLagrangian hangs on linear problem;
    • GH-621: How to calculate the cache size in respect of the available ram;
    • GH-624: Add an Example for Chart Class;
    • GH-627: Exposing more distribution fields as public properties;
    • GH-628: Inject other Random.Generators (like Mersenne Twister);
    • GH-630: GeneralizedBetaDistribution.ProbabilityDensityFunction does not have an area of 1;
    • ✅ GH-631: Adding test case for GoldfarbIdnaniStatus is Success even when Solution violates constraints;
    • GH-632: ExponentialDistribution.DistributionFunction return values outside [0,1];
    • GH-647: Adding weighted versions of the Euclidean and Square Euclidean distances;
    • GH-649: Add an example for NonNegativeLeastSquares Class;
    • GH-654: Adding the Distance Transform and Watershed algorithms;

    • GH-663: Adding examples for the CsvWriter Class.

    General

    • Adding support for targetting .NET 4.6.2 and NET Standard 2.0;

    - Improving documentation and expanding number of examples.

    Core

    - Moving IParallel and ISupportsCancellation interfaces to Accord.Core.

    IO

    • Adding a parser for the UNIPEN file format used by the pendigits dataset;
    • Whitespace as a candidate delimiter in CSV parser;

    - Adding more overloads to SparseReader's Read method.

    DataSets

    • Renaming the previous Iris dataset to SparseIris since it was a LibSVM dataset;

    - Adding the original Iris, Wine, Pendigits, Chunking and Test Images datasets.

    MachineLearning

    • Updating Learn() methods now throw exceptions when weights are
      👍 passed to learning algorithms which does not yet support them;
    • Updating CrossValidation, Bootstrap, Split Set Validation and
      Grid-Search to use the new Learn() API;
    • Adding support for creating decision trees using collection
      🎉 initializers for the attribute/decision variables;
    • Mitigating the impact of a numerical precision issue when normalizing
      distances to probabilities in the K-Means++ initialization;
    • Fixing issue with K-Means in which the input observations would be
      🔄 changed by the randomization algorithm when using uniform seeding;
    • Correcting the design of the framelet for cluster algorithms so clusterings that are
      not based on distance proximity to centroids are not forced to implement those methods;
    • Changing the default caching mechanism for Support Vector Machines
      to keep rows of the kernel matrix instead of individual elements;
    • Adding methods to calculate the cache size given a number of bytes;
    • Adding cache support for Fan Chen Lin's QP (SMO's SecondOrder strategy);
    • Updating IClassifier interface to offer a NumberOfClasses property besides NumberOfOutputs;
    • Updating the base classes for IClassifier such that the Score, Probability
      and LogLikelihood functions only have to be defined once;
    • Correcting the Score, Probability and LogLikelihood functions of GeneralizedLinearRegression;
    • Updating ITransform and IClassifier's NumberOfInputs, NumberOfOutputs and
      NumberOfClasses properties to be read-and-write rather than read-only.

    Imaging

    • Adding the Zhang-Suen Thinning Algorithm by Hashem Zawary (thanks!);
    • Adding a FromUrl method to the Image class to download images directly from the web;
    • Adding support for jagged matrices in the ImageToMatrix and MatrixToImage converters;
    • Adding convenience methods PixelSize and Offset to UnmanagedImage;

    - Adding a constructor method in UnmanagedImage to construct from byte arrays.

    Vision

    - Fixing reproducibility of Bag-Of-Visual-Words when using parallel processing.

    Statistics

    • Marking Sparse kernel classes as deprecated;
    • Adding Dirac's Delta as a (non-metric) Distance function;
    • Updating the SquareEuclidean distance to support also Sparse arrays;
    • Adding a dummy random number generator that generates always the same constant;
    • Fixing the implementation of the new API for Cox's Proportional Hazards;
    • Updating HMM, CRF, and HCRF learning algorithms to support creating HMMs, HMM-based classifiers,
      CRFs and HCRFs directly from the data samples instead of requiring them to be defined by hand;
    • Adding a new MatrixContinuousDistribution base class for Wishart and Inverse-Wishart distributions;
    • Adding a RBF version of the Dynamic Time Warping kernel
      that can be used with any distance metric/cost function;
    • Updating Hidden Markov Model learning classes to use RelativeConvergence;
    • Improving discrete hidden Markov models performance;
    • Adding a base class for HCRF learning algorithms based on
      ⚡️ the available IGradientOptimizationMethod optimizers;
    • Adding extension methods to simplify how distributions can be estimated
      from the data (without requiring the distribution to be created first);
    • Fixing gradient computation in CRF learning;
    • Updating base classes for probability distributions to perform input
      validation before calling distribution-specific implementations;
    • Adding automatic testing of all univariate probability distributions;

    - Mass fixing issues detected by automatic testing in multiple distributions.

    Math

    • Fixing an issue with Bounded L-BFGS in which the optimization algorithm
      would not respect the maximum number of iterations determined by the user;
    • Adding HasConverged, MaxIterations and CurrentIteration properties
      as required members in IConvergenceLearning interface;
    • Adding parsing methods for Vector class;
    • Fixing Sparse SquareEuclidean distance;
    • Removing duplicated extension method To() from Matrix.Conversions.cs

    - Marking Conjugate Gradient and BFGS as supporting execution cancellation;

    Controls

    • Updating ImageBox to support the fluent syntax and .Hold() methods.