BrownBoost algorithm parameters.
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- Variant 1
- Default constructor
- Variant 2
Constructs BrownBoost 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 BrownBoost training algorithm |
| maxIter | Maximal number of iterations of the BrownBoost training algorithm |
| nrAcc | Accuracy threshold for Newton-Raphson iterations in the BrownBoost training algorithm |
| nrMaxIter | Maximal number of Newton-Raphson iterations in the BrownBoost training algorithm |
| dcThreshold | Threshold needed to avoid degenerate cases in the BrownBoost training algorithm |
- Variant 3
Constructs BrownBoost 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 BrownBoost training algorithm |
| maxIter | Maximal number of iterations of the BrownBoost training algorithm |
| nrAcc | Accuracy threshold for Newton-Raphson iterations in the BrownBoost training algorithm |
| nrMaxIter | Maximal number of Newton-Raphson iterations in the BrownBoost training algorithm |
| dcThreshold | Threshold needed to avoid degenerate cases in the BrownBoost training algorithm |
- Variant 4
Constructs BrownBoost 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 BrownBoost training algorithm |
| maxIter | Maximal number of iterations of the BrownBoost training algorithm |
| nrAcc | Accuracy threshold for Newton-Raphson iterations in the BrownBoost training algorithm |
| nrMaxIter | Maximal number of Newton-Raphson iterations in the BrownBoost training algorithm |
| dcThreshold | Threshold needed to avoid degenerate cases in the BrownBoost training algorithm |
- Variant 5
Constructs BrownBoost 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 BrownBoost training algorithm |
| maxIter | Maximal number of iterations of the BrownBoost training algorithm |
| nrAcc | Accuracy threshold for Newton-Raphson iterations in the BrownBoost training algorithm |
| nrMaxIter | Maximal number of Newton-Raphson iterations in the BrownBoost training algorithm |
| dcThreshold | Threshold needed to avoid degenerate cases in the BrownBoost training algorithm |
- Variant 6
Constructs BrownBoost 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 BrownBoost training algorithm |
| maxIter | Maximal number of iterations of the BrownBoost training algorithm |
| nrAcc | Accuracy threshold for Newton-Raphson iterations in the BrownBoost training algorithm |
| nrMaxIter | Maximal number of Newton-Raphson iterations in the BrownBoost training algorithm |
| dcThreshold | Threshold needed to avoid degenerate cases in the BrownBoost training algorithm |
- Variant 7
Constructs BrownBoost 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 BrownBoost training algorithm |
| maxIter | Maximal number of iterations of the BrownBoost training algorithm |
| nrAcc | Accuracy threshold for Newton-Raphson iterations in the BrownBoost training algorithm |
| nrMaxIter | Maximal number of Newton-Raphson iterations in the BrownBoost training algorithm |
| dcThreshold | Threshold needed to avoid degenerate cases in the BrownBoost training algorithm |
check(Parameter self) -> Status
Accuracy of the BrownBoost training algorithm
| degenerateCasesThreshold = ... |
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Threshold needed to avoid degenerate cases in the BrownBoost training algorithm
Maximal number of iterations of the BrownBoost training algorithm
| newtonRaphsonAccuracyThreshold = ... |
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Accuracy threshold for Newton-Raphson iterations in the BrownBoost training algorithm
| newtonRaphsonMaxIterations = ... |
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Maximal number of Newton-Raphson iterations in the BrownBoost training algorithm
The documentation for this class was generated from the following file:
- algorithms/brownboost/__init__.py