AdaBoost algorithm parameters.
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- Deprecated:
- This item will be removed in a future release.
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- Variant 1
- Default constructor
- Variant 2
Constructs the AdaBoost parameter structure
- Parameters
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wlTrainForParameter | Pointer to the training algorithm of the weak learner |
wlPredictForParameter | Pointer to the prediction algorithm of the weak learner |
acc | Accuracy of the AdaBoost training algorithm |
maxIter | Maximal number of iterations of the AdaBoost training algorithm |
- Variant 3
Constructs the AdaBoost parameter structure
- Parameters
-
wlTrainForParameter | Pointer to the training algorithm of the weak learner |
wlPredictForParameter | Pointer to the prediction algorithm of the weak learner |
acc | Accuracy of the AdaBoost training algorithm |
maxIter | Maximal number of iterations of the AdaBoost training algorithm |
- Variant 4
Constructs the AdaBoost parameter structure
- Parameters
-
wlTrainForParameter | Pointer to the training algorithm of the weak learner |
wlPredictForParameter | Pointer to the prediction algorithm of the weak learner |
acc | Accuracy of the AdaBoost training algorithm |
maxIter | Maximal number of iterations of the AdaBoost training algorithm |
check(Parameter self) -> Status
Accuracy of the AdaBoost training algorithm
Maximal number of iterations of the AdaBoost training algorithm
The documentation for this class was generated from the following file:
- algorithms/adaboost/__init__.py