C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

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Distributed< step2Master, algorithmFPType, method > Class Template Reference

Computes the results of K-Means algorithm in the second step of the distributed processing mode. More...

Class Declaration

template<typename algorithmFPType, Method method>
class daal::algorithms::kmeans::interface1::Distributed< step2Master, algorithmFPType, method >

Template Parameters
algorithmFPTypeData type to use in intermediate computations of K-Means, double or float
methodComputation method of the algorithm, Method
Enumerations
  • Method Computation methods for K-Means algorithm
  • InputId Identifiers of input objects for K-Means algorithm
  • ResultId Identifiers of results of K-Means algorithm
References

Constructor & Destructor Documentation

Distributed ( size_t  nClusters,
size_t  nIterations = 1 
)
inline

Main constructor

Parameters
[in]nClustersNumber of clusters
[in]nIterationsNumber of iterations
Distributed ( const Distributed< step2Master, algorithmFPType, method > &  other)
inline

Constructs K-Means algorithm by copying input objects and parameters of another K-Means algorithm

Parameters
[in]otherAn algorithm to be used as the source to initialize the input objects and parameters of the algorithm

Member Function Documentation

services::Status checkFinalizeComputeParams ( )
inline

Validates the parameters of the finalizeCompute() method

services::SharedPtr<Distributed<step2Master, algorithmFPType, method> > clone ( ) const
inline

Returns a pointer to the newly allocated K-Means algorithm with a copy of input objects and parameters of this K-Means algorithm

Returns
Pointer to the newly allocated algorithm
virtual int getMethod ( ) const
inlinevirtual

Returns the method of the algorithm

Returns
Method of the algorithm
PartialResultPtr getPartialResult ( )
inline

Returns the structure that contains computed partial results

Returns
Structure that contains computed partial results
ResultPtr getResult ( )
inline

Returns the structure that contains the results of K-Means algorithm

Returns
Structure that contains the results of K-Means algorithm
services::Status setPartialResult ( const PartialResultPtr &  partialRes)
inline

Sets the structure that contains computed partial results

services::Status setResult ( const ResultPtr &  result)
inline

Registers user-allocated memory to store the results of K-Means algorithm

Parameters
[in]resultStructure to store the results of K-Means algorithm

Member Data Documentation

InputType input

Input data structure

ParameterType parameter

K-Means parameters structure


The documentation for this class was generated from the following file:

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