Contains a class for decision forest model-based training.
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class | Parameter |
| Parameters for the decision forest algorithm. More...
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class | Input |
| Input objects for decision forest model-based training More...
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class | Result |
| Provides methods to access the result obtained with the compute() method of decision forest model-based training. More...
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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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Enumerator |
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defaultDense |
Bagging, random choice of features, variance-based impurity
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Enumerator |
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model |
decision forest model
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enum 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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