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.