C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Contains a class for elastic net 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 } |
Computation methods for elastic net model-based training. More... | |
enum | InputId { data = linear_model::training::data, dependentVariables = linear_model::training::dependentVariables } |
Available identifiers of input objects for elastic net model-based training. More... | |
enum | OptionalInputId { optionalArgument = lastInputId + 1 } |
enum | OptionalDataId { weights, gramMatrix } |
enum | ResultToComputeId { computeGramMatrix = 0x00000001ULL } |
enum | ResultId { model = linear_model::training::model } |
Available identifiers of the result of elastic net model-based training. More... | |
enum | OptionalResultNumericTableId { gramMatrixId = lastResultId + 1 } |
enum | DataUseInComputation { doNotUse = 0, doUse = 1 } |
Available identifiers for input data corruption. More... | |
For more complete information about compiler optimizations, see our Optimization Notice.