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Accord.NET v3.7.0 Release Notes

Release Date: 2017-08-20 // over 5 years ago

  • 🚀 Accord.NET Framework 3.7.0 release notes

    20.08.2017.

    🔖 Version updates and fixes:

    • GH-53: K-Medoids algorithm;
    • GH-335: Nelder-mead solver not converged;
    • ✅ GH-444: Reenable F# Unit Tests;
    • 👍 GH-587: UnmanagedImage does not supported in ExtractBiggestBlob filter;
    • GH-594: FFMPEG net35 not working;
    • GH-621: How to calculate the cache size in respect of the available RAM;
    • GH-662: 64-bit FFMPEG binaries not in output after installing with NuGet;
    • GH-669: Confusion Matrix;
    • GH-673: Stream closes after serialization with GZip compression;
    • GH-676: DoubleArrayChromosome CreateNew ignores Balancer properties;
    • GH-684: BalancedKMeans gets stuck;
    • GH-688: Cobyla constraint definitions only work with constant values;
    • GH-690: Add an Example for Cross-Validation with DecisionTrees;
    • GH-692: Add an Example for StochasticGradientDescent Class;
    • GH-693: One-class SVM decision rule;
    • 👍 GH-694: Add support for Weighted Least Squares;
    • 👻 GH-696: IndexOutOfRangeException exception in Matrix.First method;
    • GH-697: Add an Example for HiddenMarkovModel(TDistribution, TObservation);
    • GH-699: MJPEGStream throws NotImplementedException in .NET Core 2.0;
    • GH-700: MJPEGStream throws InvalidOperationException in .NET Core 2.0;
    • GH-706: DecisionTree.ToCode() returns code that does not compile;
    • GH-707: DecisionTree.ToCode() returns code that compiles;
    • GH-711: Nonlinear Regression in VB.NET;
    • ⚡️ GH-712: Update MJPEGStream.cs ;
    • GH-715: GeneralizedParetoDistribution shape param;
    • GH-717: Possible issue with DynamicTimeWarping kernel class;
    • GH-723: Procrustes analysis is giving weird/wrong results;
    • GH-729: Error in ExhaustiveBlockMatching;
    • GH-731: Dilatation;
    • GH-736: Measures.Quartiles() for double Vectors of size 2 is wrong;
    • GH-737: Add examples for C45Learning Class with missing data and thresholds;
    • 0️⃣ GH-745: Cannot change degree of a default Polynomial kernel;
    • GH-746: Add an Example for CrossValidation Class;
    • GH-747: How to understand the Probabilities;
    • 🚀 GH-749: 64 bit release for .NET 4.0;
    • GH-752: Speed up matrix-vector operations;
    • GH-758: NullReferenceException on NaiveBayes Learn;
    • GH-765: NaiveBayes 'System.IndexOutOfRangeException' occurred in Accord.Statistics.dll when calling from sample application;
    • GH-767: DebugVisualizers;
    • 📚 GH-777: Bug in LinearConstraintCollection documentation;

    • GH-778: Setter for bounds in BoundedBroydenFletcherGoldfarbShanno.

    General

    • Adding support for targetting NET Standard 1.4;

    - Adding Newtonsoft.Json (Json.NET) in externals.

    DataSets

    • Adding Wisconsin's Breast Cancer (original, prognostic and diagnostic) datasets;
    • Adding Oxford's Parkinsons dataset;

    - Updating download links for the RCV1v2 dataset.

    Imaging

    - Fixing multiple typos regarding the spelling of "Dilation" (this is a breaking change).

    IO

    - Adding a ReadLine method to CsvReader to read individual lines from the CSV file.

    MachineLearning

    • Adding K-Medoids (PAM) and Voronoi Iteration clustering algorithms;
    • Fixing epsilon in Sequential Minimal Optimization for Regression;
    • Adding a MiniBatch static class that can be used to create mini-batch definitions from training data;
    • Update LevenbergMarquardtLearning.cs to allow for different activation functions;
    • Update BackPropagationLearning.cs to allow for different activation functions;
    • Adding support for missing values in C4.5;
    • Updating GeneralConfusionMatrix to represent columns as ground-truth instead of predictions;
    • Improving memory usage for Second Order (LibSVM) Sequential Minimal Optimization;
    • Adding more overloads to the method that helps determine how many lines can
      be included in the SVM kernel cache given a total amount of memory;
    • Fixing ToMulticlass() methods included in multi-label and binary classifiers;
    • Fixing the Probabilities and LogLikelihoods methods for multi-label and multi-class SVMs;
    • Adding an option for OneVsOneLearning/Multiclass SVMs stop at the first exception
      found during training instead of waiting until the all machines have been trained;

    - Adding Precision, Recall, RowErrors and ColumnErrors to GeneralConfusionMatrix.

    Math

    • Adding support for .Learn() methods in NonlinearLeastSquares;
    • Updates GH-762: DotAndDot performance for small problem sizes;
    • Removing the deprecated extension methods for Accord.Math.Matrix.Multiply
      (such that calls should now be redirected to Elementwise.Multiply);
    • Fix BinarySearch so that it works with decreasing functions;
    • Search interval in BinarySearch was meant to be [a;b) (i.e. with inclusive a and exclusive b);
    • Fixing the behavior of Matrix.Get() method when negative indices are passed;

    - Fixing Matrix's ToTable method to use the most high level type possible when creating columns.

    Statistics

    • Adding multiple methods for computing quartiles/quantiles;
    • Adding a more advanced version of the discretization filter;

    - Adding an example for fraud detection using HMMs with MaximumLikelihoodLearning class.

    Neuro

    • Adding support for networks with multiple activation functions in Levenberg-Marquardt.