Accord.NET Framework Files

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.