Base class for parameters of the boosting algorithm
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- Variant 1
- Default constructor. Sets the decision stump as the default weak learner
- Variant 2
Constructs boosting algorithm parameters from weak learner training and prediction algorithms
- 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 |
- Variant 3
- Copy constructor
check(Parameter self) -> Status
weakLearnerPrediction = ... |
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The algorithm for prediction based on a weak learner model
weakLearnerTraining = ... |
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The algorithm for weak learner model training
The documentation for this class was generated from the following file:
- algorithms/boosting/__init__.py