C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4

References | Namespaces | Classes | Enumerations

Contains a class for decision forest model-based training. More...

References

 Batch
 

Namespaces

 daal::algorithms::decision_forest::regression::training
 Contains a class for decision forest model-based training.
 
 daal::algorithms::decision_forest::regression::training::interface1
 Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
 

Classes

class  Parameter
 Parameters for the decision forest algorithm. More...
 
class  Input
 Input objects for decision forest model-based training More...
 
class  Result
 Provides methods to access the result obtained with the compute() method of decision forest model-based training. More...
 

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

enum ResultEngineId

Enumerator
updatedEngine 

Engine updated after computations.

enum ResultId

Enumerator
model 

decision forest model

enum ResultNumericTableId

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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