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ILinearT Interface |
Namespace: Accord.Statistics.Kernels
The ILinearT type exposes the following members.
Name | Description | |
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![]() | Add |
Elementwise addition of a and b, storing in result.
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![]() | Compress |
Compress a set of support vectors and weights into a single
parameter vector.
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![]() | CreateVector |
Creates an input vector from the given double values.
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![]() | Function(T, T) |
The kernel function.
(Inherited from IKernelT.) |
![]() | Function(Double, T) |
The kernel function.
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![]() | GetLength |
Gets the number of parameters in the input vectors.
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![]() | Product(Double, T, Double) |
Elementwise multiplication of scalar a and vector b, accumulating in result.
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![]() | Product(Double, T, Double) |
Elementwise multiplication of vector a and vector b, accumulating in result.
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![]() | ToDouble |
Converts the input vectors to a double-precision representation.
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In Machine Learning and statistics, a Kernel is a function that returns the value of the dot product between the images of the two arguments.
k(x,y) = ‹S(x),S(y)›
References: