Supported operations

This section describes all operations supported by oneDAL. For more information about general operation definition, refer to Operations section.

The table bellow specifies whether an algorithm’s descriptor can be used together with each operation.

Algorithm	Operations
	Train	Infer	Compute
K-Means	Yes	Yes	No
K-Means Initialization	No	No	Yes
k-NN	Yes	Yes	No
PCA	Yes	Yes	No

Train

The train operation performs training procedure of a machine learning algorithm. The result obtained after the training contains a model that can be passed to the infer operation.

namespace oneapi::dal {

template <typename Descriptor>
using train_input_t = /* implementation defined */;

template <typename Descriptor>
using train_result_t = /* implementation defined */;

template <typename Descriptor>
train_result_t<Descriptor> train(
   sycl::queue& queue,
   const Descriptor& desc,
   const train_input_t<Descriptor>& input);

} // namespace oneapi::dal

Infer

The infer operation performs inference procedure of a machine learning algorithm based on the model obtained as a result of training.

namespace oneapi::dal {

template <typename Descriptor>
using infer_input_t = /* implementation defined */;

template <typename Descriptor>
using infer_result_t = /* implementation defined */;

template <typename Descriptor>
infer_result_t<Descriptor> infer(
   sycl::queue& queue,
   const Descriptor& desc,
   const infer_input_t<Descriptor>& input);

} // namespace oneapi::dal

Compute

The compute operation is used if an algorithm does not have the well-defined training and inference stages.

namespace oneapi::dal {

template <typename Descriptor>
using compute_input_t = /* implementation defined */;

template <typename Descriptor>
using compute_result_t = /* implementation defined */;

template <typename Descriptor>
compute_result_t<Descriptor> compute(
   sycl::queue& queue,
   const Descriptor& desc,
   const compute_input_t<Descriptor>& input);

} // namespace oneapi::dal