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

List of all members
DistributedInput< step2Master > Class Template Reference

Input object for linear regression model-based training in the second step of the distributed 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

template<>
class daal::algorithms::linear_regression::training::interface1::DistributedInput< step2Master >

Member Function Documentation

◆ add()

void add ( Step2MasterInputId  id,
const PartialResultPtr partialResult 
)

Adds an input object for linear regression model-based training in the second step of the distributed processing mode

Parameters
[in]idIdentifier of the input object
[in]partialResultInput object

◆ check()

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

Checks an input object for linear regression model-based training in the second step of the distributed processing mode

Returns
Status of computations

Reimplemented from Input.

◆ get()

data_management::DataCollectionPtr get ( Step2MasterInputId  id) const

Gets an input object for linear regression model-based training in the second step of the distributed processing mode

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

◆ getNumberOfDependentVariables()

size_t getNumberOfDependentVariables ( ) const
virtual

Returns the number of dependent variables

Returns
Number of dependent variables

Implements InputIface.

◆ getNumberOfFeatures()

size_t getNumberOfFeatures ( ) const
virtual

Returns the number of columns in the input data set

Returns
Number of columns in the input data set

Implements InputIface.

◆ set()

void set ( Step2MasterInputId  id,
const data_management::DataCollectionPtr &  ptr 
)

Sets an input object for linear regression model-based training in the second step of the distributed processing mode

Parameters
[in]idIdentifier of the input object
[in]ptrInput object

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

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