Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4

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Base class for parameters of the LogitBoost training algorithm. More...

Detailed Description

Member Function Documentation

double getAccuracyThreshold ( )

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
accuracyThresholdAccuracy of the LogitBoost training algorithm
void setMaxIterations ( long  maxIterations)

Sets the maximal number of iterations of the LogitBoost training algorithm

Parameters
maxIterationsMaximal number of iterations
void setResponsesDegenerateCasesThreshold ( double  responsesDegenerateCasesThreshold)

Sets the threshold to avoid degenerate cases when calculating responses Z

Parameters
responsesDegenerateCasesThresholdThe threshold
void setWeightsDegenerateCasesThreshold ( double  weightsDegenerateCasesThreshold)

Sets the threshold to avoid degenerate cases when calculating weights W

Parameters
weightsDegenerateCasesThresholdThe threshold

The documentation for this class was generated from the following file:

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