C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

Classes
daal::algorithms::linear_regression::training::interface1 Namespace Reference

Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.

Classes

class  BatchContainer
 Class containing methods for normal equations linear regression model-based training using algorithmFPType precision arithmetic. More...
 
class  Batch
 Provides methods for linear regression model-based training in the batch processing mode. More...
 
class  DistributedContainer
 Class containing methods for linear regression model-based training in the distributed processing mode. More...
 
class  DistributedContainer< step2Master, algorithmFPType, method, cpu >
 Class containing methods for linear regression model-based training in the second step of the distributed processing mode. More...
 
class  Distributed
 Provides methods for linear regression model-based training in the distributed processing mode. More...
 
class  Distributed< step1Local, algorithmFPType, method >
 Performs linear regression model-based training in the the first step of the distributed processing mode. More...
 
class  Distributed< step2Master, algorithmFPType, method >
 Performs linear regression model-based training in the the second step of distributed processing mode. More...
 
class  OnlineContainer
 Class containing methods for linear regression model-based training in the online processing mode. More...
 
class  Online
 Provides methods for linear regression model-based training in the online processing mode. More...
 
class  InputIface
 Abstract class that specifies the interface of input objects for linear regression model-based training. More...
 
class  Input
 Input objects for linear regression model-based training More...
 
class  DistributedInput
 Input object for linear regression model-based training in the distributed processing mode More...
 
class  PartialResult
 Provides methods to access a partial result obtained with the compute() method of linear regression model-based training in the online or distributed processing mode. More...
 
class  DistributedInput< step2Master >
 Input object for linear regression model-based training in the second step of the distributed processing mode More...
 
class  Result
 Provides methods to access the result obtained with the compute() method of linear regression model-based training. More...
 

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