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

List of all members
Input Class Reference

Input objects in the prediction stage of the multinomial naive Bayes algorithm. More...

Additional Inherited Members

- Static Protected Member Functions inherited from Argument
static data_management::DataCollectionPtr & getStorage (Argument &a)
 
static const data_management::DataCollectionPtr & getStorage (const Argument &a)
 

Class Declaration

Member Function Documentation

◆ check()

services::Status check ( const daal::algorithms::Parameter parameter,
int  method 
) const
virtual

Checks the correctness of the input object

Parameters
[in]parameterPointer to the structure of the algorithm parameters
[in]methodComputation method
Returns
Status of computations

Reimplemented from Input.

◆ get() [1/2]

data_management::NumericTablePtr get ( classifier::prediction::NumericTableInputId  id) const

Returns the input Numeric Table object in the prediction stage of the classification algorithm

Parameters
[in]idIdentifier of the input NumericTable object
Returns
Input object that corresponds to the given identifier

◆ get() [2/2]

multinomial_naive_bayes::ModelPtr get ( classifier::prediction::ModelInputId  id) const

Returns the input Model object in the prediction stage of the multinomial naive Bayes algorithm

Parameters
[in]idIdentifier of the input Model object
Returns
Input object that corresponds to the given identifier

◆ set() [1/2]

void set ( classifier::prediction::NumericTableInputId  id,
const data_management::NumericTablePtr &  ptr 
)

Sets the input NumericTable object in the prediction stage of the classification algorithm

Parameters
[in]idIdentifier of the input object
[in]ptrPointer to the input object

◆ set() [2/2]

void set ( classifier::prediction::ModelInputId  id,
const multinomial_naive_bayes::ModelPtr &  ptr 
)

Sets the input Model object in the prediction stage of the multinomial naive Bayes algorithm

Parameters
[in]idIdentifier of the input object
[in]ptrPointer to the input object

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

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