Accord.NET Framework Files

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; - 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.