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

List of all members
Result Class Reference

Provides methods to access final results obtained with the compute() method of the LogitBoost training algorithm in the batch processing mode. 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

◆ allocate()

DAAL_EXPORT services::Status allocate ( const daal::algorithms::Input input,
const daal::algorithms::Parameter parameter,
const int  method 
)

Allocates memory to store final results of the LogitBoost training algorithm

Parameters
[in]inputInput of the LogitBoost training algorithm
[in]parameterParameters of the algorithm
[in]methodLogitBoost computation method
Returns
Status of allocation

◆ check()

services::Status check ( const daal::algorithms::Input input,
const daal::algorithms::Parameter par,
int  method 
) const
virtual

s Checks the result of decision forest model-based training

Parameters
[in]inputInput object for the algorithm
[in]parParameter of the algorithm
[in]methodComputation method
Returns
Status of checking

Reimplemented from Result.

◆ get() [1/2]

ModelPtr get ( classifier::training::ResultId  id) const

Returns the model trained with the LogitBoost algorithm

Parameters
[in]idIdentifier of the result, classifier::training::ResultId
Returns
Model trained with the LogitBoost algorithm

◆ get() [2/2]

data_management::NumericTablePtr get ( ResultNumericTableId  id) const

Returns the result of decision forest model-based training

Parameters
[in]idIdentifier of the result
Returns
Result that corresponds to the given identifier

◆ set() [1/2]

void set ( classifier::training::ResultId  id,
const ModelPtr &  value 
)

Sets the result of decision forest model-based training

Parameters
[in]idIdentifier of the result
[in]valueResult

◆ set() [2/2]

void set ( ResultNumericTableId  id,
const data_management::NumericTablePtr &  value 
)

Sets the result of decision forest model-based training

Parameters
[in]idIdentifier of the result
[in]valueResult

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

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