kurtosis¶
Entry point to compute kurtosis.
Description and Assumptions
The oneapi::mkl::stats::kurtosis function is used to compute a kurtosis array (kurtosis for each dataset’s dimension).
kurtosis supports the following precisions for data:
T
float
double
kurtosis (buffer version)¶
Syntax
namespace oneapi::mkl::stats {
template<method Method = method::fast, typename Type, layout ObservationsLayout>
void kurtosis(sycl::queue& queue,
const dataset<ObservationsLayout, sycl::buffer<Type, 1>>& data,
sycl::buffer<Type, 1> kurtosis);
}
Template Parameters
- Method
Method which is used for estimate computation. The specific values are as follows:
oneapi::mkl::stats::method::fastoneapi::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
- kurtosis
sycl::buffer array of kurtosis values.
Throws
- oneapi::mkl::invalid_argument
Exception is thrown when kurtosis.get_count() == 0, or dataset object is invalid
kurtosis (USM version)¶
Syntax
namespace oneapi::mkl::stats {
template<method Method = method::fast, typename Type, layout ObservationsLayout>
sycl::event kurtosis(sycl::queue& queue,
const dataset<ObservationsLayout, Type*>& data,
Type* kurtosis,
const sycl::vector_class<sycl::event> &dependencies = {});
}
Template Parameters
- Method
Method which is used for estimate computation. The specific values are as follows:
oneapi::mkl::stats::method::fastoneapi::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
- kurtosis
Pointer to the array of kurtosis values.
Throws
- oneapi::mkl::invalid_argument
Exception is thrown when kurtosis == nullptr, or dataset object is invalid
Return Value
Output event to wait on to ensure computation is complete.
Parent topic: Summary Statistics Routines