Name | Description | Type | Package | Framework |
ConstrainedLASSObyLARS | This class solves the constrained form of LASSO by modified least angle regression (LARS) and linear interpolation: | Class | com.numericalmethod.suanshu.stats.regression.linear.lasso | SuanShu |
ConstrainedLASSOProblem | A LASSO (least absolute shrinkage and selection operator) problem focuses on solving an RSS (residual sum of squared errors) problem with L1 regularization. | Class | com.numericalmethod.suanshu.stats.regression.linear.lasso | SuanShu |
LARSFitting | This class computes the entire LARS sequence of coefficients and fits, starting from zero to theSee Also:B. | Class | com.numericalmethod.suanshu.stats.regression.linear.lasso.lars | SuanShu |
LARSFitting .Estimators | Gets the estimated sequence of A. | Class | com.numericalmethod.suanshu.stats.regression.linear.lasso.lars | SuanShu |
LARSProblem | Least Angle Regression (LARS) is a regression algorithm for high-dimensional data. | Class | com.numericalmethod.suanshu.stats.regression.linear.lasso.lars | SuanShu |
UnconstrainedLASSObyCoordinateDescent | This class solves the unconstrained form of LASSO, that is, min_w left { left | Xw - y ight |_2^2 + lambda * left | w | Class | com.numericalmethod.suanshu.stats.regression.linear.lasso | SuanShu |
UnconstrainedLASSObyQP | This class solves the unconstrained form of LASSO (i. | Class | com.numericalmethod.suanshu.stats.regression.linear.lasso | SuanShu |
UnconstrainedLASSOProblem | A LASSO (least absolute shrinkage and selection operator) problem focuses on solving an RSS (residual sum of squared errors) problem with L1 regularization. | Class | com.numericalmethod.suanshu.stats.regression.linear.lasso | SuanShu |