skewness

Entry point to compute skewness.

Description and Assumptions

The oneapi::mkl::stats::skewness function is used to compute a skewness array (skewness for each dataset’s dimension).

skewness supports the following precisions for data:

T
float
double

skewness (buffer version)

Syntax

namespace oneapi::mkl::stats {
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);
}

Template Parameters

Method

Method which is used for estimate computation. The specific values are as follows:

• oneapi::mkl::stats::method::fast

• oneapi::mkl::stats::method::one_pass

Type

Data precision.

ObservationsLayout

Data layout. The specific values are described in dataset.

Input Parameters

queue

The queue where the routine should be executed.

data

Dataset which is used for computation.

Output Parameters

skewness

sycl::buffer array of skewness values.

Throws

oneapi::mkl::invalid_argument

Exception is thrown when skewness.get_count() == 0, or dataset object is invalid

skewness (USM version)

Syntax

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

Template Parameters

Method

Method which is used for estimate computation. The specific values are as follows:

• oneapi::mkl::stats::method::fast

• oneapi::mkl::stats::method::one_pass

Type

Data precision.

ObservationsLayout

Data layout. The specific values are described in dataset.

Input Parameters

queue

The queue where the routine should be executed.

data

Dataset which is used for computation.

dependencies

Optional parameter. List of events to wait for before starting computation, if any.

Output Parameters

skewness

Pointer to the array of skewness values.

Throws

oneapi::mkl::invalid_argument

Exception is thrown when skewness == nullptr, or dataset object is invalid

Return Value

Output event to wait on to ensure computation is complete.

Parent topic: Summary Statistics Routines