NAME¶

mlpack::kernel::KernelTraits< KernelType > - This is a template class that can provide information about various kernels.

SYNOPSIS¶

Static Public Attributes¶

static const bool IsNormalized = false If true, then the kernel is normalized: K(x, x) = K(y, y) = 1 for all x.

Detailed Description¶

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 KernelTraits specialization for that class. Definition at line 37 of file kernel_traits.hpp.

Member Data Documentation¶

template<typename KernelType > const bool mlpack::kernel::KernelTraits< KernelType >::IsNormalized = false [static]¶

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

Author¶

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