numl by Seth Juarez

<PackageReference Include="numl" Version="0.7.16" />

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API Diff between 0.7.16 and 0.8.22

0 Additions 25 Removals

numl.Math.Functions.Cost

• public interface ICostFunction
• public class LinearCostFunction : ICostFunction
• public class LogisticCostFunction : ICostFunction

numl.Math.Functions.Regularization

• public interface IRegularizer
• public class Regularization : IRegularizer

numl.Math.LinearAlgebra

• public class Matrix : IXmlSerializable
  • public static Vector StdDev(Matrix source, VectorType t = 1)
  • public Matrix Insert(Vector v, int index, VectorType t, bool insertAfter = true)
  • public Matrix Inverse()
  • public double[][] ToArray()
• public static class MatrixExtensions
  • public static Vector StdDev(this Matrix source, VectorType t)
• public static class VectorExtensions
  • public static Vector Insert(this Vector source, int index, double value, bool insertAfter = true)
  • public static Vector Log(this Vector v)
  • public static double ToDouble(this Vector vector)

numl.Math.Optimization

• public static class GradientDescent

numl.PreProcessing

• public static class FeatureDimensions
• public static class FeatureNormalizer

numl.Supervised.Regression

• public class LinearRegressionGenerator : Generator
  • public double Lambda { get; set; }
  • public double LearningRate { get; set; }
  • public int MaxIterations { get; set; }
• public class LinearRegressionModel : Model
• public class LogisticRegressionGenerator : Generator
• public class LogisticRegressionModel : Model

numl.Unsupervised

• public class GMM
  • public double Normal(Vector x, Vector mu, Vector sigma)

numl.Utils

• public static class EnumerableHelpers
• public static class Ject
  • public static object Create(Type type)