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

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

Contains a class for Decision tree 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 Decision tree model-based training. More...
 
enum  InputId {
  data = algorithms::regression::training::data, dependentVariables = algorithms::regression::training::dependentVariables, dataForPruning, dependentVariablesForPruning,
  weights = algorithms::regression::training::weights
}
 Available identifiers of the results in the training stage of Decision tree. More...
 
enum  ResultId { model = algorithms::regression::training::model }
 Available identifiers of the result of decision tree model-based training. More...
 

Enumeration Type Documentation

enum InputId

Enumerator
data 

Input data table

dependentVariables 

Values of the dependent variable for the input data

dataForPruning 

Pruning data set

dependentVariablesForPruning 

Labels of the pruning data set

weights 

Optional. Weights of the observations in the training data set

enum Method

Enumerator
defaultDense 

Default method

enum ResultId

Enumerator
model 

Decision tree model

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