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

References | Namespaces | Classes | Enumerations

Contains classes for Decision forest models training. More...

References

 Batch
 

Namespaces

 daal::algorithms::decision_forest::classification::training
 Contains classes for Decision forest models training.
 
 daal::algorithms::decision_forest::classification::training::interface1
 Contains version 1.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
 

Classes

struct  Parameter
 Decision forest algorithm parameters. More...
 
class  Result
 Provides methods to access final results obtained with the compute() method of the LogitBoost training algorithm in the batch processing mode. More...
 

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

enum ResultEngineId

Enumerator
updatedEngine 

Engine updated after computations.

enum ResultNumericTableId

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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