Base class for parameters of the LogitBoost training algorithm.
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double getAccuracyThreshold |
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Retrieves the accuracy of the LogitBoost training algorithm
- Returns
- Accuracy of the LogitBoost training algorithm
long getMaxIterations |
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Retrieves the maximal number of iterations of the LogitBoost training algorithm
- Returns
- Maximal number of iterations
double getResponsesDegenerateCasesThreshold |
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Retrieves the threshold needed to avoid degenerate cases when calculating responses Z
- Returns
- The threshold
double getWeightsDegenerateCasesThreshold |
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Retrieves the threshold needed to avoid degenerate cases when calculating weights W
- Returns
- The threshold
void setAccuracyThreshold |
( |
double |
accuracyThreshold | ) |
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Sets the accuracy of the LogitBoost training algorithm
- Parameters
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accuracyThreshold | Accuracy of the LogitBoost training algorithm |
void setMaxIterations |
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long |
maxIterations | ) |
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Sets the maximal number of iterations of the LogitBoost training algorithm
- Parameters
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maxIterations | Maximal number of iterations |
void setResponsesDegenerateCasesThreshold |
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double |
responsesDegenerateCasesThreshold | ) |
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Sets the threshold to avoid degenerate cases when calculating responses Z
- Parameters
-
responsesDegenerateCasesThreshold | The threshold |
void setWeightsDegenerateCasesThreshold |
( |
double |
weightsDegenerateCasesThreshold | ) |
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Sets the threshold to avoid degenerate cases when calculating weights W
- Parameters
-
weightsDegenerateCasesThreshold | The threshold |
The documentation for this class was generated from the following file:
- logitboost/Parameter.java