﻿ Linear Structure

# Linear Structure

Linear Kernel.

Namespace:  Accord.Statistics.Kernels
Assembly:  Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntax
```[SerializableAttribute]
public struct Linear : IKernel, IKernel<double[]>,
IDistance, IDistance<double[]>, IDistance<double[], double[]>,
ILinear, ILinear<double[]>, ICloneable, IReverseDistance,
ITransform, ITransform<double[]>, IKernel<Sparse<double>>,
ILinear<Sparse<double>>, IDistance<Sparse<double>>,
IDistance<Sparse<double>, Sparse<double>>```

The Linear type exposes the following members.

Constructors
NameDescription
Linear
Constructs a new Linear kernel.
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Properties
NameDescription
Constant
Gets or sets the kernel's intercept term. Default is 0.
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Methods
NameDescription
Elementwise addition of a and b, storing in result.
Elementwise addition of a and b, storing in result.
Clone
Creates a new object that is a copy of the current instance.
Compress(Double, SparseDouble, Double)
Compress a set of support vectors and weights into a single parameter vector.
Compress(Double, Double, Double)
Compress a set of support vectors and weights into a single parameter vector.
CreateVector(Double)
Creates an input vector from the given double values.
CreateVector(Int32)
Creates an input vector with the given dimensions.
Distance(Double, Double)
Computes the squared distance in input space between two points given in feature space.
Distance(SparseDouble, SparseDouble)
Computes the squared distance in input space between two points given in feature space.
Equals
Indicates whether this instance and a specified object are equal.
(Inherited from ValueType.)
Function(Double)
Linear kernel function.
Function(Double, SparseDouble)
The kernel function.
Function(Double, Double)
Linear kernel function.
Function(SparseDouble, SparseDouble)
The kernel function.
GetHashCode
Returns the hash code for this instance.
(Inherited from ValueType.)
GetLength(Double)
Gets the number of parameters in the input vectors.
GetLength(SparseDouble)
Gets the number of parameters in the input vectors.
GetType
Gets the Type of the current instance.
(Inherited from Object.)
Product(Double, SparseDouble, Double)
Elementwise multiplication of scalar a and vector b, storing in result.
Product(Double, Double, Double)
Elementwise multiplication of scalar a and vector b, storing in result.
Product(Double, SparseDouble, Double)
Elementwise multiplication of vector a and vector b, accumulating in result.
Product(Double, Double, Double)
Elementwise multiplication of vector a and vector b, accumulating in result.
ReverseDistance
Computes the squared distance in input space between two points given in feature space.
ToDouble(Double)
Converts the input vectors to a double-precision representation.
ToDouble(SparseDouble)
Converts the input vectors to a double-precision representation.
ToString
Returns the fully qualified type name of this instance.
(Inherited from ValueType.)
Transform(Double)
Projects an input point into feature space.
Transform(Double)
Projects a set of input points into feature space.
Transform(Double, Double)
Projects an input point into feature space.
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Extension Methods
NameDescription
Distance
Computes the kernel distance for a kernel function even if it doesn't implement the IDistance interface. Can be used to check the proper implementation of the distance function.
(Defined by Tools.)
HasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)
IsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.)