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

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

Detailed Description

Member Function Documentation

double getAccuracyThreshold ( )

Retrieves the accuracy of the BrownBoost training algorithm

Returns
Accuracy of the BrownBoost training algorithm
double getDegenerateCasesThreshold ( )

Retrieves the threshold needed to avoid degenerate cases in the BrownBoost training algorithm

Returns
The threshold
long getMaxIterations ( )

Retrieves the maximal number of iterations of the BrownBoost training algorithm

Returns
Maximal number of iterations
double getNewtonRaphsonAccuracyThreshold ( )

Retrieves the accuracy threshold for Newton-Raphson iterations in the BrownBoost training algorithm

Returns
Accuracy threshold
long getNewtonRaphsonMaxIterations ( )

Retrieves the maximal number of Newton-Raphson iterations in the BrownBoost training algorithm

Returns
Maximal number of Newton-Raphson iterations
void setAccuracyThreshold ( double  accuracyThreshold)

Sets the accuracy of the BrownBoost training algorithm

Parameters
accuracyThresholdAccuracy of the BrownBoost training algorithm
void setDegenerateCasesThreshold ( double  degenerateCasesThreshold)

Sets the threshold to avoid degenerate cases in the BrownBoost training algorithm

Parameters
degenerateCasesThresholdThe threshold
void setMaxIterations ( long  maxIterations)

Sets the maximal number of iterations of the BrownBoost training algorithm

Parameters
maxIterationsMaximal number of iterations
void setNewtonRaphsonAccuracyThreshold ( double  newtonRaphsonAccuracyThreshold)

Sets the accuracy threshold for Newton-Raphson iterations in the BrownBoost training algorithm

Parameters
newtonRaphsonAccuracyThresholdAccuracy threshold
void setNewtonRaphsonMaxIterations ( long  newtonRaphsonMaxIterations)

Sets the maximal number of Newton-Raphson iterations in the BrownBoost training algorithm

Parameters
newtonRaphsonMaxIterationsMaximal number of Newton-Raphson iterations

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

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