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

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TrainingParameter Class Reference

Logistic regression training algorithm parameters. More...

Detailed Description

Member Function Documentation

boolean getInterceptFlag ( )

Returns the value of the interceptFlag flag

Returns
Flag

Gets the optimization solver used by the algorithm

float getPenaltyL1 ( )

Returns L1 regularization coefficient

Returns
PenaltyL1
float getPenaltyL2 ( )

Returns L2 regularization coefficient

Returns
PenaltyL2
void setInterceptFlag ( boolean  flag)

Sets the interceptFlag flag that enables or disables the computation of the beta0 coefficient in the logistic regression equation

Parameters
flag
void setOptimizationSolver ( com.intel.daal.algorithms.optimization_solver.iterative_solver.Batch  optimizationSolver)

Sets the optimization solver to be used by the algorithm

Parameters
optimizationSolveroptimization solver to be used by the algorithm
void setPenaltyL1 ( float  value)

Sets L1 regularization coefficient

Parameters
value
void setPenaltyL2 ( float  value)

Sets L2 regularization coefficient

Parameters
value

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

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