C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

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Batch< algorithmFPType, method > Class Template Reference

Abstract class that specifies interface of the algorithms for computing multivariate outlier detection in the batch processing mode. More...

Class Declaration

template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::multivariate_outlier_detection::interface1::Batch< algorithmFPType, method >

Template Parameters
algorithmFPTypeData type to use in intermediate computations for the multivariate outlier detection, double or float
methodMultivariate outlier detection computation method, daal::algorithms::multivariate_outlier_detection::Method
Enumerations
  • Method Computation methods for the multivariate outlier detection
  • InputId Identifiers of input objects for the multivariate outlier detection
  • ResultId Identifiers of the results of the multivariate outlier detection algorithm
References

Constructor & Destructor Documentation

◆ Batch() [1/2]

Batch ( )
inline

Default constructor

◆ Batch() [2/2]

Batch ( const Batch< algorithmFPType, method > &  other)
inline

Constructs an algorithm for computing multivariate outlier detection by copying input objects and parameters of another algorithm for computing multivariate outlier detection

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

Member Function Documentation

◆ clone()

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

Returns a pointer to the newly allocated algorithm for computing multivariate outlier detection with a copy of input objects and parameters of this algorithm for computing multivariate outlier detection

Returns
Pointer to the newly allocated algorithm

◆ getMethod()

virtual int getMethod ( ) const
inlinevirtual

Returns method of the algorithm

Returns
Method of the algorithm

Implements AlgorithmIface.

◆ getResult()

ResultPtr getResult ( )
inline

Returns the structure that contains the results of the multivariate outlier detection

Returns
Structure that contains the results of the multivariate outlier detection algorithm

◆ setResult()

services::Status setResult ( const ResultPtr result)
inline

Registers user-allocated memory to store the results of the multivariate outlier detection algorithm

Parameters
[in]resultStructure for storing the results of the multivariate outlier detection algorithm
Returns
Status of computations

Member Data Documentation

◆ input

InputType input

Input object


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

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