Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 3

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Parameters for the compute() method of the implicit ALS algorithm. More...

Detailed Description

Member Function Documentation

double getAlpha ( )

Gets the value of the confidence parameter of the implicit ALS training algorithm

Returns
Value of the confidence parameter of the implicit ALS training algorithm
double getLambda ( )

Gets the value of the regularization parameter of the implicit ALS training algorithm

Returns
Value of the regularization parameter of the implicit ALS training algorithm
long getMaxIterations ( )

Gets the value of the maxIterations parameter

Returns
maxIterations
long getNFactors ( )

Gets the value of the nFactors parameter

Returns
nFactors
double getPreferenceThreshold ( )

Gets the value of the threshold used to define preference values

Returns
Value of the threshold used to define preference values
void setAlpha ( double  alpha)

Sets the confidence parameter of the implicit ALS training algorithm

Parameters
alphaConfidence parameter of the implicit ALS training algorithm
void setLambda ( double  lambda)

Sets the regularization parameter of the implicit ALS training algorithm

Parameters
lambdaRegularization parameter of the implicit ALS training algorithm
void setMaxIterations ( long  maxIterations)

Sets the maxIterations parameter

Parameters
maxIterationsMaximum number of iterations of the implicit ALS training algorithm
void setNFactors ( long  nFactors)

Sets the nFactors parameter

Parameters
nFactorsNumber of factors
void setPreferenceThreshold ( double  preferenceThreshold)

Sets the threshold used to define preference values

Parameters
preferenceThresholdThreshold used to define preference values

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

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