C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Contains a class for lasso 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 } |
| Computation methods for lasso regression model-based training. More... | |
| enum | InputId { data = linear_model::training::data, dependentVariables = linear_model::training::dependentVariables } |
| Available identifiers of input objects for lasso regression 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 lasso regression 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.