Lasso regression algorithm parameters.
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int getDataUseInComputation |
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Returns the value of the Data Use in Computation flag
boolean getInterceptFlag |
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Returns the value of the interceptFlag flag
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 |
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Returns the value of the Data Use in Computation flag
void setDataUseInComputation |
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int |
flag | ) |
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Sets the Data Use in Computation flag that allows modification of input data
- Parameters
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void setInterceptFlag |
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boolean |
flag | ) |
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Sets the interceptFlag flag that enables or disables the computation of the beta0 coefficient in the lasso regression equation
- Parameters
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Sets the numeric table that represents lasso parameters. If no lasso parameters are provided, the implementation will generate lasso parameters equal to 1.
- Parameters
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lassoParameters | The numeric table that represents lasso parameters |
Sets the optimization solver to be used by the algorithm
- Parameters
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optimizationSolver | optimization solver to be used by the algorithm |
void setOptResultToCompute |
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int |
optResult | ) |
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Sets the optional result to compute flag
- Parameters
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The documentation for this class was generated from the following file:
- lasso_regression/TrainParameter.java