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 |
( |
| ) |
|
Retrieves the maximal number of iterations of the LogitBoost training algorithm
- Returns
- Maximal number of iterations
| double getResponsesDegenerateCasesThreshold |
( |
| ) |
|
Retrieves the threshold needed to avoid degenerate cases when calculating responses Z
- Returns
- The threshold
| double getWeightsDegenerateCasesThreshold |
( |
| ) |
|
Retrieves the threshold needed to avoid degenerate cases when calculating weights W
- Returns
- The threshold
| void setAccuracyThreshold |
( |
double |
accuracyThreshold | ) |
|
Sets the accuracy of the LogitBoost training algorithm
- Parameters
-
| accuracyThreshold | Accuracy of the LogitBoost training algorithm |
| void setMaxIterations |
( |
long |
maxIterations | ) |
|
Sets the maximal number of iterations of the LogitBoost training algorithm
- Parameters
-
| maxIterations | Maximal number of iterations |
| void setResponsesDegenerateCasesThreshold |
( |
double |
responsesDegenerateCasesThreshold | ) |
|
Sets the threshold to avoid degenerate cases when calculating responses Z
- Parameters
-
| responsesDegenerateCasesThreshold | The threshold |
| void setWeightsDegenerateCasesThreshold |
( |
double |
weightsDegenerateCasesThreshold | ) |
|
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