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

List of all members
Batch< algorithmFPType, method > Class Template Reference

Computes the confusion matrix for a binary classifier in the batch processing mode. More...

Class Declaration

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

Template Parameters
algorithmFPTypeData type to use in intermediate computations of the binary confusion matrix, double or float
methodComputation method for the binary confusion matrix, Method
Enumerations
  • Method Computation method for the binary confusion matrix
  • InputId Identifiers of input objects for the binary confusion matrix algorithm
  • ResultId Result identifiers for the binary confusion matrix algorithm
  • BinaryMetricsId Identifiers of resulting metrics associated with the binary confusion matrix

Constructor & Destructor Documentation

◆ Batch() [1/2]

Batch ( )
inline

Default constructor

◆ Batch() [2/2]

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

Constructs a confusion matrix algorithm by copying input objects and parameters of another confusion matrix algorithm

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 confusion matrix algorithm with a copy of input objects and parameters of this confusion matrix algorithm

Returns
Pointer to the newly allocated algorithm

◆ getMethod()

virtual int getMethod ( ) const
inlinevirtual

Returns the method of the algorithm

Returns
Method of the algorithm

Implements AlgorithmIface.

◆ getResult()

ResultPtr getResult ( ) const
inline

Returns the structure that contains results of the binary confusion matrix algorithm

Returns
Structure that contains results of the binary confusion matrix algorithm

◆ setInput()

virtual void setInput ( const algorithms::Input other)
inlinevirtual

Registers user-allocated memory to store the input object for the binary confusion matrix algorithm

Parameters
[in]otherStructure to store the input object for the binary confusion matrix algorithm

Implements Batch.

◆ setResult()

services::Status setResult ( const ResultPtr result)
inline

Registers user-allocated memory to store results of the binary confusion matrix algorithm

Parameters
[in]resultStructure to store results of the binary confusion matrix algorithm

Member Data Documentation

◆ input

InputType input

Input objects of the algorithm

◆ parameter

ParameterType parameter

Parameters of the algorithm


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

For more complete information about compiler optimizations, see our Optimization Notice.