Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 1

Classes

Contains classes for linear regression model-based training.

Classes

class  DistributedStep2MasterInput
 Input object for linear regression model-based training in the second step of the distributed processing mode. More...
 
class  Input
 Input object for linear regression model-based training in the batch and online processing modes and in the first step of the distributed processing mode. More...
 
class  MasterInputId
 Available identifiers of input objects for linear regression model-based training on the master node. 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  PartialResultId
 Available identifiers of a partial result of linear regression model-based training. More...
 
class  TrainingBatch
 Provides methods for linear regression model-based training in the batch processing mode. More...
 
class  TrainingDistributedStep1Local
 Runs linear regression model-based training in the first step of the distributed processing mode. More...
 
class  TrainingDistributedStep2Master
 Runs linear regression model-based training in the second step of the distributed processing mode. More...
 
class  TrainingInputId
 Available identifiers of input objects for linear regression model-based training. More...
 
class  TrainingMethod
 Available methods for linear regression model-based training. More...
 
class  TrainingOnline
 Provides methods for linear regression model-based training in the online processing mode. More...
 
class  TrainingResult
 Provides methods to access the result of linear regression model-based training. More...
 
class  TrainingResultId
 Available identifiers of the result of linear regression model-based training. More...
 

For more complete information about compiler optimizations, see our Optimization Notice.