Accord.NET Framework Files

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<T> 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<T>() from Matrix.Conversions.cs

• Marking Conjugate Gradient and BFGS as supporting execution cancellation;

• Controls

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