Contains classes for Decision forest models training.
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struct | Parameter |
| Decision forest algorithm parameters. More...
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class | Result |
| Provides methods to access final results obtained with the compute() method of the LogitBoost training algorithm in the batch processing mode. More...
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Enumerator |
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defaultDense |
Bagging, random choice of features, Gini impurity
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Enumerator |
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updatedEngine |
Engine updated after computations.
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enum ResultNumericTableId |
Enumerator |
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outOfBagError |
Numeric table 1x1 containing out-of-bag erro. 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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