.TH "mlpack::kernel::KernelTraits< KernelType >" 3 "Tue Sep 9 2014" "Version 1.0.10" "MLPACK" \" -*- nroff -*-
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.SH NAME
mlpack::kernel::KernelTraits< KernelType > \- 
.PP
This is a template class that can provide information about various kernels\&.  

.SH SYNOPSIS
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.PP
.SS "Static Public Attributes"

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.RI "static const bool \fBIsNormalized\fP = false"
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.RI "\fIIf true, then the kernel is normalized: K(x, x) = K(y, y) = 1 for all x\&. \fP"
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.SH "Detailed Description"
.PP 

.SS "template<typename KernelType>class mlpack::kernel::KernelTraits< KernelType >"
This is a template class that can provide information about various kernels\&. 

By default, this class will provide the weakest possible assumptions on kernels, and each kernel should override values as necessary\&. If a kernel doesn't need to override a value, then there's no need to write a \fBKernelTraits\fP specialization for that class\&. 
.PP
Definition at line 37 of file kernel_traits\&.hpp\&.
.SH "Member Data Documentation"
.PP 
.SS "template<typename KernelType > const bool \fBmlpack::kernel::KernelTraits\fP< KernelType >::IsNormalized = false\fC [static]\fP"

.PP
If true, then the kernel is normalized: K(x, x) = K(y, y) = 1 for all x\&. 
.PP
Definition at line 43 of file kernel_traits\&.hpp\&.

.SH "Author"
.PP 
Generated automatically by Doxygen for MLPACK from the source code\&.