The Accord.NET Framework

Accord.NET Framework 3.8.0 release notes

22.10.2017.

Version updates and fixes:

• GH-82: Add support for weighted PCA;
• GH-127: Fast KMeans (Request);
• GH-145: MovingNormalStatistics;
• GH-157: Issue in Survival analysis using VB.NET;
• GH-184: Add an Example for Graylevel coocurrences;
• GH-211: Any samples on how to use Boosted Decision Trees;
• GH-257: DFT functions in AForge.Math.FourierTransform and Accord.Math.Transforms;
• GH-262: C45Learning Discrete vs Real;
• GH-374: Dictionary of video capabilities doesn't take into account the video framerate;
• GH-376: Add an Example for VideoCaptureDevice Class;
• GH-377: Add an Example for LevenbergMarquardt Class;
• GH-415: Add an Example for AdaBoost(TModel);
• GH-421: Add an Example for KalmanFilter2D Class;
• GH-422: Add an Example for DecisionStump.Learn Method;
• GH-424: Add an Example for AdaBoost(TModel) Class;
• GH-430: Add an Example for GeneralConfusionMatrix Constructor (Int32, Int32[], Int32[]);
• GH-440: BagOfWords for audio signals;
• GH-441: Add Mel Frequency Cepstral Coefficients (MFCC);
• GH-466: Add an Example for Distance.Mahalanobis Method (Double[], Double[]);
• GH-467: Add an Example for Spline Class;
• GH-473: Add an Example for IParallel.ParallelOptions Property;
• GH-476: Add an Example for TwoWayAnova Constructor (Double[][][], TwoWayAnovaModel);
• GH-483: Add an Example for Haralick Class;
• GH-486: Add an Example for LibSvmModel.Save Method (String);
• GH-498: Add an Example for QLearning Class;
• GH-500: Add an Example for FourierTransform2.FFT Method (Complex[], FourierTransform.Direction);
• GH-505: Add an Example for ConfusionMatrix Constructor (Int32[], Int32[], Int32, Int32);
• GH-517: Add an Example for Sarsa Class;
• GH-519: Add an Example for NelderMead Class;
• GH-530: Add an Example for Matrix.Inverse Method (Double[][]);
• GH-532: Add an Example for GaussNewton Class;
• GH-547: Add an Example for HaralickDescriptor Class;
• GH-554: Add an Example for BinaryTree(TNode) Class;
• GH-557: Add an Example for Matrix.Sort(TKey, TValue) Method (TKey[], TValue[,], IComparer(TKey));
• GH-560: Add an Example for FourierTransform2.FFT Method (Double[], Double[], FourierTransform.Direction);
• GH-566: Add an Example for Distance.GetDistance(T) Method;
• GH-569: Add an Example for Distance.Euclidean Method (Double, Double, Double, Double);
• GH-575: Add an Example for LuDecomposition Class;
• GH-576: RandomForestLearning: Examples can't run with SampleRatio not equal 1.0;
• GH-582: Add an Example for Matrix.Multiply Method (Double[], Double[,]);
• GH-610: Add an Example for UnivariateContinuousDistribution.Fit Method (Double[]);
• GH-616: Add an Example for LevenbergMarquardt Class;
• GH-618: Add an Example for Apriori Class;
• GH-629: Add an Example for AdaBoost(TModel) Class;
• GH-636: Add an Example for Measures.Correlation Method (Double[][]);
• GH-640: Add an Example for GaussianKernel Class;
• GH-642: Add an Example for Matrix.PseudoInverse Method (Decimal[,]);
• GH-653: Add an Example for HistogramsOfOrientedGradients Class;
• GH-656: Add an Example for MatReader.Read Method (String);
• GH-660: Add an Example for LogLikelihoodLoss Class;
• GH-665: Add an Example for FourierTransform.FFT Method;
• GH-687: Add an Example for ShapiroWilkTest Class;
• GH-695: Add an Example for TFIDF.Transform Method (String[][]);
• GH-703: Add an Example for Imputation Class;
• GH-717: Possible issue with DynamicTimeWarp kernel class;
• GH-718: Add an Example for Cosine.Distance Method;
• GH-723: Procrustes analysis is giving weird/wrong results;
• GH-727: Add an Example for IRadialBasisKernel Interface;
• GH-730: Binary-Split with normalized FREAK;
• GH-739: Add an Example for MultipleLinearRegression.CoefficientOfDetermination Method;
• GH-756: Add an Example for ProportionalHazardsAnalysis.LogLikelihood Property;
• GH-764: Add an Example for AndersonDarlingTest Class;
• GH-769: Issue using visual bag of words with large images;
• GH-783: Add an Example for LocalBinaryPattern Class;
• GH-785: Add an Example for Tools.RandomGroups Method (Int32, Double);
• GH-787: Add an Example for HiddenMarkovModel(TDistribution, TObservation).Predict Method (TObservation[]);
• GH-789: Add support for OS X;
• GH-792: Add an Example for FisherExactTest Class;
• GH-793: Add an Example for HoughLineTransformation Class;
• GH-798: System.AccessViolationException in FastBoxBlur;
• GH-800: Missing dependency for Accord.Neuro in NuGet;
• GH-802: Index outside of the bounds of the array in Naive Bayes;
• GH-803: NaN probabilities from large features with MultinomialLogisticRegression;
• GH-805: Unsafe keyword being exposed in the public API;
• GH-807: Add an Example for CrossValidating NaiveBayes;
• GH-809: The Codification filter should honor the value of DefaultMissingValueReplacement unless overriden;
• GH-811: Naive Bayes should provide better argument checking for negative symbols;
• GH-812: ZhangSuenSkeletonization filter not exist to use;
• GH-814: Add an Example for MulticlassSupportVectorMachine(TKernel, TInput) Class;
• GH-818: Add an Example for LinearConstraint Class;
• GH-819: Quadratic Objective Function to support basic vector operations;
• GH-820: Augmented Lagrangian to support linear constraints;
• GH-824: Improve number of class inference in ZeroOneLoss;
• GH-825: Replace multi-dimentional with jagged arrays in IntegralImage.cs;
• GH-828: Accord.Neuro under .Net Standard 2.0;
• GH-830: Read PGM image pending;
• GH-831: Index outside of the bounds of the array in Naive Bayes;
• GH-843: Where is Accord.NET AdaBoost Decide method;
• GH-845: Add an Example for Decision Structure;
• GH-848: Wilcoxon Signed Rank Test for PAIRED samples: TwoSampleWilcoxonSignedRankTest;
• GH-849: TwoSampleWilcoxonSignedRankTest crashing when sample vectors are exactly the same values;
• GH-852: Add an Example for DecisionSet Class;
• GH-853: Access to last Hessian in BoundedBroydenFletcherGoldfarbShanno;
• GH-856: Add an overload to IsSymmetric that accepts a tolerance;
• GH-857: Mann-Whitney-U Test producing strange results;
• GH-862: Accord.Math -> Vector -> T[] Sample<T>(T[] values, int size) incorrect;
• GH-865: Measures.Quartiles: value for Q1 (lower quartile) wrong in QuantileMethod.R;
• GH-873: Add an Example for DecisionRule Class;
• GH-876: Allow the maximum frame rate possible in DirectShow for VideoCaptureDevice;
• GH-877: Add an Example for HaarCascadeWriter Class;
• GH-878: Accord.Math.Transforms.FourierTransform2.DFT2 Is bugged;
• GH-882: Adding lazy evaluation to matrix decompositions;
• GH-885: Add an Example for Signal.GetEnergy Method;
• GH-890: Add an Example for MultinomialLogisticRegressionAnalysis Class;
• GH-897: Wrong status text in ImageView from DebugVisualizer;
• GH-898: The Range method is producing some unexpected results;
• GH-899: Add an Example for IntegralImage2 Class;
• GH-900: Add an Example for ExhaustiveTemplateMatching Class;
• GH-901: Add an Example for HSL Class;
• GH-911: Character case of folder name;
• GH-913: KNearestNeighbors can not be serialized;
• GH-917: Two C++ projects require "Platform toolset v141" which is only available on VS2017;
• GH-919: Build failed for Samples.sln on VS 2015;
• GH-921: Fix for the normal random number generator when a seed is specified;
• GH-924, GH-925: Fixing the seeded exponential generator;
• GH-927: Broadcasting dimension seems counter-intuitive;
• GH-929: Add an Example for SpeededUpRobustFeaturesDescriptor Class;
• GH-930: Add an Example for FastCornersDetector Class;
• GH-931: Add an Example for MatchingTracker Class;
• GH-937: Add an Example for LogisticRegression Class;
• GH-948: Accord.Video.FFMPEG.VideoFileReader should provide frame-based random access;
• GH-949: Add the Free Spoken Digits Dataset to Accord.DataSets;
• GH-950: Add a dataset for example test videos;
• GH-955: KalmanFilter2D throws System.NullReferenceException;
• GH-956: Integrate AForge.NET fixes (up to September 6);

• General

  • The libsonly script is now in RAR4 format instead of RAR5 so they will not be listed as corrupted files by Linux/MacOSX decompressors;

• Core

  • Splitting ITransform into ITransform and ICovariantTransform (to support generic covariance);

• Video.FFMPEG

  • Standardizing the C++ projects to depend on VS2015 runtime instead of VS2017 to keep compatibility with VS2015;
  • Adding a static constructor in the FFMPEG project to check whether the system has those dependencies installed;

• Audio

  • Adding the initial version for a MelFrequencyCepstrumCoefficients audio feature extractor;
  • Adding a IAudioFeatureExtractor interface (akin to the IImageFeatureExtractor for Accord.Imaging);
  • Adding a Mono filter to convert multi-channel audio signals into single channel (mono) signals;
  • Adding a Signal.FromFile() method to load audio signals from file similarly to Bitmap.FromFile();
  • Adding an AudioDecoder class akin to ImageDecoder to find audio format decoders based on file extension;

• Audition

  • Adding BagOfAudioWords class to compute bag-of-word representations from audio signals;

• Imaging

  • Adding support for decoding PNM files in format P2 and P3 (besides the already supported P5 and P6);
  • Updating Haralick's to use the same normalization method as HOG and LBP;
  • Updating the color classes (RGB, HSL, YCbCr) to be structs;
  • Adding conversion operators between different color classes;
  • Updating ImageDecoder to find decoders using reflection instead of manual registration;
  • Updating the feature extraction framelet to implement the ITransform interfaces and deprecating IFeatureDetector;
  • Updating all feature descriptors to be classes rather than structs so the generics covariance can work;
  • Integrating AForge.NET's texture generation classes: Adding a base class for texture generation methods, updating them to use the framework-wide random number generator, and deprecating their Reset method;

• DataSets:

  • Adding the Yin-Yang dataset as an example of a non-linear 2D binary classification problem;
  • Adding the Servo dataset as an example of a mixed discrete/continuous dataset for regression;

• Math

  • Adding a methods for the numerical calculation of the Hessian in the FiniteDifferences class;
  • Updating Vector.Interval and Vector.Range to behave similar to NumPy's linspance and arange functions;
  • Adding new overloads in element-wise operations that accept a VectorType enumeration instead of a integer for specifying to which dimension the element-wise operation should be performed;
  • Updating the Digamma and Trigamma functions to handle negative values;

• MachineLearning

  • Updating the AdaBoost classes to implement the more recent classification framelet;
  • Adding a Error property in ConfusionMatrix and GeneralConfusionMatrix (1.0 - Accuracy);
  • Adding named constructors to ConfusionMatrix to create matrices directly from classifiers, their inputs and expected outputs;
  • Adding a new IsColor8bpp extension method to detect whether an 8-bpp image is a color image (non-grayscale);
  • Adding a new ConvertColor8bppToGrayscale8bpp extension methods to convert these into grayscale 8-bpp images;
  • Fixing Codification filter transformation for DataTables when only some columns should be converted;
  • NumberOfOutputs and NumberOfSymbols should have different implementations depending on the variable type;
  • Enforcing alphabetical/default sorted order for symbols in Codification filter (this is a breaking change);
  • Codification filter should now transform columns in the same order as specified by the user;

• Statistics

  • Adding exponentially weighted moving average (ewma) methods in Statistics.Measures partial classes;

  • Sample applications

    • Adding a new sample application demonstrating how to use the framework in Unity 3D.