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

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

Contains classes for Decision forest models training.

Namespaces

 interface1
 Contains version 1.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
 
 interface2
 Contains version 2.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
 

Enumerations

enum  Method { defaultDense = 0 }
 Computation methods for decision forest classification model-based training. More...
 
enum  ResultNumericTableId { outOfBagError = classifier::training::model + 1, variableImportance, outOfBagErrorPerObservation }
 Available identifiers of the result of decision forest model-based training. More...
 
enum  ResultEngineId { updatedEngine = lastResultId + 1 }
 Available identifiers of the result of decision forest model-based training. More...
 

Enumeration Type Documentation

enum Method

Enumerator
defaultDense 

Bagging, random choice of features, Gini impurity

Enumerator
updatedEngine 

Engine updated after computations.

Enumerator
outOfBagError 

Numeric table 1x1 containing out-of-bag erro. 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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