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