C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

Namespaces | Enumerations
daal::algorithms::gbt::regression::training Namespace Reference

Contains a class for model-based training.

Namespaces

 interface1
 Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
 

Enumerations

enum  Method { xboost = 0, defaultDense = 0 }
 Computation methods for gradient boosted trees classification model-based training. More...
 
enum  LossFunctionType
 Loss function type. More...
 
enum  InputId { data = algorithms::regression::training::data, dependentVariable = algorithms::regression::training::dependentVariables }
 Available identifiers of input objects for model-based training. More...
 
enum  ResultId { model = algorithms::regression::training::model }
 Available identifiers of the result of model-based training. More...
 

Enumeration Type Documentation

◆ InputId

enum InputId

Enumerator
data 

Input data table

dependentVariable 

Values of the dependent variable for the input data

◆ LossFunctionType

◆ Method

enum Method

Enumerator
xboost 

Extreme boosting (second-order approximation of objective function, regularization on number of leaves and their weights), Chen et al.

defaultDense 

Default training method

◆ ResultId

enum ResultId

Enumerator
model 

model

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