oneapi::mkl::stats::make_dataset
Description
Entry point to create a dataset from the provided parameters.
API
Syntax
Buffer API
template<layout ObservationsLayout = layout::row_major,
typename Type> dataset<ObservationsLayout,
sycl::buffer<Type, 1>> make_dataset(std::int64_t n_dims,
std::int64_t n_observations,
sycl::buffer<Type, 1> observations,
sycl::buffer<Type, 1> weights = {0},
sycl::buffer<std::int64_t, 1> indices = {0});USM API
template<layout ObservationsLayout = layout::row_major,
typename Type> dataset<ObservationsLayout,
Type*> make_dataset(std::int64_t n_dims,
std::int64_t n_observations,
Type* observations, Type* weights = nullptr,
std::int64_t* indices = nullptr);Include Files
- oneapi/mkl/stats.hpp
Template Parameters
typename DataType | Type of dataset. May be float , double . |
oneapi::mkl::stats::layout ObservationsLayout | Layout of the observations matrix of the dataset. The specific values are as follows: oneapi::mkl::stats::layout::row_major oneapi::mkl::stats::layout::col_major |
Input Parameters
Name | Type | Description |
|---|---|---|
n_dims | std::int64_t | The number of dimensions (variables) |
n_observations | std::int64_t | The number of observations |
observations | sycl::buffer<Type, 1> / Type* | Matrix of observations |
Optional Input Parameters
Name | Type | Description |
|---|---|---|
weights | sycl::buffer<Type, 1> / Type* | Array of weights of size n_observations. Elements of the arrays are non-negative numbers. If the parameter is not specified, each observation is assigned weight equal to 1. |
indices | sycl::buffer<std::int64_t, 1> / std::int64_t* | Array of vector components that will be processed. Size of array is n_dims . If the parameter is not specified, all components of the random vector are processed. |
Return Type
Buffer API
oneapi::mkl::stats::dataset<ObservationsLayout, sycl::buffer<Type, 1>> | Dataset holding specified parameters |
USM API
oneapi::mkl::stats::dataset<ObservationsLayout, Type*> | Dataset holding specified parameters |