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

References | Namespaces | Enumerations

Contains a class for linear regression model-based training. More...

References

 Batch
 
 Distributed
 
 Online
 

Namespaces

 daal::algorithms::linear_regression::training
 Contains a class for linear regression model-based training.
 
 daal::algorithms::linear_regression::training::interface1
 Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
 

Enumerations

enum  Method { defaultDense = 0, normEqDense = 0, qrDense = 1 }
 Computation methods for linear regression model-based training. More...
 
enum  InputId { data = linear_model::training::data, dependentVariables = linear_model::training::dependentVariables }
 Available identifiers of input objects for linear regression model-based training. More...
 
enum  Step2MasterInputId { partialModels }
 Available identifiers of input objects for linear regression model-based training in the second step of the distributed processing mode. More...
 
enum  PartialResultID { partialModel }
 Available identifiers of a partial result of linear regression model-based training. More...
 
enum  ResultId { model = linear_model::training::model }
 Available identifiers of the result of linear regression model-based training. More...
 

Enumeration Type Documentation

◆ InputId

enum InputId

Enumerator
data 

Input data table

dependentVariables 

Values of the dependent variable for the input data

◆ Method

enum Method

Enumerator
defaultDense 

Default: Normal equations method

normEqDense 

Normal equations method

qrDense 

QR decomposition-based method

◆ PartialResultID

Enumerator
partialModel 

Partial model trained on the available input data

◆ ResultId

enum ResultId

Enumerator
model 

Linear regression model

◆ Step2MasterInputId

Enumerator
partialModels 

Collection of partial models trained on local nodes

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