C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Contains a class for ridge regression model-based training.
Namespaces | |
interface1 | |
Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface. | |
Enumerations | |
enum | Method { defaultDense = 0, normEqDense = 0 } |
Computation methods for ridge regression model-based training. More... | |
enum | InputId { data = linear_model::training::data, dependentVariables = linear_model::training::dependentVariables } |
Available identifiers of input objects for ridge regression model-based training. More... | |
enum | Step2MasterInputId { partialModels } |
Available identifiers of input objects for ridge regression model-based training in the second step of the distributed processing mode. More... | |
enum | PartialResultID { partialModel } |
Available identifiers of a partial result of ridge regression model-based training. More... | |
enum | ResultId { model = linear_model::training::model } |
Available identifiers of the result of ridge regression model-based training. More... | |
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