Contains a class for decision forest model-based training.
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| interface1 |
| Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
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◆ InputId
Enumerator |
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data | Input data table
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dependentVariable | Values of the dependent variable for the input data
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◆ Method
Enumerator |
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defaultDense | Bagging, random choice of features, variance-based impurity
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◆ ResultId
Enumerator |
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model | decision forest model
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◆ ResultNumericTableId
Enumerator |
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outOfBagError | Numeric table 1x1 containing out-of-bag error. Computed when computeOutOfBagError option is on
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variableImportance | Numeric table 1x(number of features) containing variable importance value. Computed when parameter.varImportance != none
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outOfBagErrorPerObservation | Numeric table 1x(number of observations) containing out-of-bag error value computed. Computed when computeOutOfBagErrorPerObservation option is on
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