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oneapi::mkl::stats::skewness

Entry point to compute the arrays of skewness values.

Syntax

Buffer API

template<method Method = method::fast, typename Type, layout ObservationsLayout>
void skewness(sycl::queue& queue,
    const dataset<ObservationsLayout, sycl::buffer<Type, 1>>& data,
    sycl::buffer<Type, 1> skewness);

USM API

template<method Method = method::fast, typename Type, layout ObservationsLayout>
sycl::event skewness(sycl::queue& queue,
    const dataset<ObservationsLayout, Type*>& data,
    Type* skewness,
    const sycl::vector_class<sycl::event> &dependencies = {});

Include Files

• oneapi/mkl/stats.hpp

Template Parameters

Input Parameters

Name	Type	Description
queue	sycl::queue&	Valid sycl::queue, calls of the oneapi::mkl::stats::skewness() routine submits kernels in this queue.
data	const dataset<ObservationsLayout, Type*>&	Dataset which is used for estimates computation.

Optional Input Parameter for USM API

Name	Type	Description
dependencies	const sycl::vector_class<sycl::event>&	List of events to wait for before starting computation, if any.

Output Parameters

Buffer API

Name	Type	Description
skewness	sycl::buffer<Type, 1>	sycl::buffer to the output array of skewness values.

USM API

Name	Type	Description
skewness	Type*	Pointer to the output array of skewness values.
event	sycl::event	Function returns event after submitting task in sycl::queue.

oneapi::mkl::stats::variation with User-provided Mean oneapi::mkl::stats::skewness with User-provided Mean