Contains classes for prediction based on models.
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Contains classes for making prediction based on the classifier model.
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| struct | Parameter |
| | Parameters of the prediction algorithm. More...
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| class | Input |
| | Input objects in the prediction stage of the LOGISTIC_REGRESSION algorithm. More...
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| class | Result |
| | Provides interface for the result of model-based prediction. More...
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Available methods for predictions based on the logistic regression model
| Enumerator |
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| defaultDense |
Default method
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| enum ResultNumericTableId |
Available identifiers of results obtained in the prediction stage of the classification algorithm
| Enumerator |
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| probabilities |
Numeric table of size: n x 1, if nClasses = 2, n x nClasses, if nClasses > 2 containing probabilities of classes computed when computeClassesProbabilities option is enabled. In case nClasses = 2 the table contains probabilities of class _1.
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| logProbabilities |
Numeric table of size: n x 1, if nClasses = 2, n x nClasses, if nClasses > 2 containing logarithms of classes_ probabilities computed when computeClassesLogProbabilities option is enabled. In case nClasses = 2 the table contains logarithms of class 1 probabilities.
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Available identifiers to specify the result to compute