AdaBoost algorithm parameters.
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def __init__ |
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- Variant 1
Default contructor
- Parameters
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nClasses | The number of classes |
- 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 |
learnRate | Multiplier for each classifier to shrink its contribution |
resToCompute | The 64-bit integer flag that specifies which extra characteristics of the AdaBoost compute from ResultToComputeId |
nCl | Number of classes |
- 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 |
learnRate | Multiplier for each classifier to shrink its contribution |
resToCompute | The 64-bit integer flag that specifies which extra characteristics of the AdaBoost compute from ResultToComputeId |
nCl | Number of classes |
- 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 |
learnRate | Multiplier for each classifier to shrink its contribution |
resToCompute | The 64-bit integer flag that specifies which extra characteristics of the AdaBoost compute from ResultToComputeId |
nCl | Number of classes |
- Variant 5
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 |
learnRate | Multiplier for each classifier to shrink its contribution |
resToCompute | The 64-bit integer flag that specifies which extra characteristics of the AdaBoost compute from ResultToComputeId |
nCl | Number of classes |
- Variant 6
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 |
learnRate | Multiplier for each classifier to shrink its contribution |
resToCompute | The 64-bit integer flag that specifies which extra characteristics of the AdaBoost compute from ResultToComputeId |
nCl | Number of classes |
- Variant 7
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 |
learnRate | Multiplier for each classifier to shrink its contribution |
resToCompute | The 64-bit integer flag that specifies which extra characteristics of the AdaBoost compute from ResultToComputeId |
nCl | Number of classes |
check(interface2_Parameter self) -> Status
Accuracy of the AdaBoost training algorithm
Multiplier for each classifier to shrink its contribution
Maximal number of iterations of the AdaBoost training algorithm
64 bit integer flag that indicates the results to compute
weakLearnerPrediction = ... |
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The algorithm for prediction based on a weak learner model
weakLearnerTraining = ... |
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static |
The algorithm for weak learner model training
The documentation for this class was generated from the following file:
- algorithms/adaboost/__init__.py