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

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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 ( )
inline

Default constructor

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

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
virtual int getMethod ( ) const
inlinevirtual

Returns method of the algorithm

Returns
Method of the algorithm
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
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

InputType input

Input object


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

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