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

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

Contains a class for decision forest 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 forest regression model-based training. More...
 
enum  InputId { data = algorithms::regression::training::data, dependentVariable = algorithms::regression::training::dependentVariables }
 Available identifiers of input objects for decision forest model-based training. More...
 
enum  ResultId { model = algorithms::regression::training::model }
 Available identifiers of the result of decision forest model-based training. More...
 
enum  ResultNumericTableId { outOfBagError = lastResultId + 1, variableImportance, outOfBagErrorPerObservation }
 Available identifiers of the result of decision forest model-based training. More...
 
enum  ResultEngineId { updatedEngine = lastResultNumericTableId + 1 }
 Available identifiers of the result of decision forest model-based training. More...
 

Enumeration Type Documentation

enum InputId

Enumerator
data 

Input data table

dependentVariable 

Values of the dependent variable for the input data

enum Method

Enumerator
defaultDense 

Bagging, random choice of features, variance-based impurity

Enumerator
updatedEngine 

Engine updated after computations.

enum ResultId

Enumerator
model 

decision forest model

Enumerator
outOfBagError 

Numeric table 1x1 containing out-of-bag error. Computed when computeOutOfBagError option is on

variableImportance 

Numeric table 1x(number of features) containing variable importance value. Computed when parameter.varImportance != none

outOfBagErrorPerObservation 

Numeric table 1x(number of observations) containing out-of-bag error value computed. Computed when computeOutOfBagErrorPerObservation option is on

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