Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5

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TrainParameter Class Reference

Lasso regression algorithm parameters. More...

Detailed Description

Member Function Documentation

int getDataUseInComputation ( )

Returns the value of the Data Use in Computation flag

boolean getInterceptFlag ( )

Returns the value of the interceptFlag flag

NumericTable getLassoParameters ( )

Retrieves the numeric table that represents lasso parameters. If no lasso parameters are provided, the implementation will generate lasso parameters equal to 1.

Returns
The numeric table that represents lasso parameters.

Gets the optimization solver used in the algorithm

int getOptResultToCompute ( )

Returns the value of the Data Use in Computation flag

void setDataUseInComputation ( int  flag)

Sets the Data Use in Computation flag that allows modification of input data

Parameters
flag
void setInterceptFlag ( boolean  flag)

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

Parameters
flag
void setLassoParameters ( NumericTable  lassoParameters)

Sets the numeric table that represents lasso parameters. If no lasso parameters are provided, the implementation will generate lasso parameters equal to 1.

Parameters
lassoParametersThe numeric table that represents lasso parameters
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 setOptResultToCompute ( int  optResult)

Sets the optional result to compute flag

Parameters
optResult

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

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