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#Com.numericalmethod.suanshu.stats.regression.linear.lasso Classes and Interfaces - 8 results found.
NameDescriptionTypePackageFramework
ConstrainedLASSObyLARSThis class solves the constrained form of LASSO by modified least angle regression (LARS) and linear interpolation:Classcom.numericalmethod.suanshu.stats.regression.linear.lassoSuanShu
ConstrainedLASSOProblemA LASSO (least absolute shrinkage and selection operator) problem focuses on solving an RSS (residual sum of squared errors) problem with L1 regularization.Classcom.numericalmethod.suanshu.stats.regression.linear.lassoSuanShu
LARSFittingThis class computes the entire LARS sequence of coefficients and fits, starting from zero to theSee Also:B.Classcom.numericalmethod.suanshu.stats.regression.linear.lasso.larsSuanShu
LARSFitting .EstimatorsGets the estimated sequence of A.Classcom.numericalmethod.suanshu.stats.regression.linear.lasso.larsSuanShu
LARSProblemLeast Angle Regression (LARS) is a regression algorithm for high-dimensional data.Classcom.numericalmethod.suanshu.stats.regression.linear.lasso.larsSuanShu
UnconstrainedLASSObyCoordinateDescentThis class solves the unconstrained form of LASSO, that is, min_w left { left | Xw - y ight |_2^2 + lambda * left | wClasscom.numericalmethod.suanshu.stats.regression.linear.lassoSuanShu
UnconstrainedLASSObyQPThis class solves the unconstrained form of LASSO (i.Classcom.numericalmethod.suanshu.stats.regression.linear.lassoSuanShu
UnconstrainedLASSOProblemA LASSO (least absolute shrinkage and selection operator) problem focuses on solving an RSS (residual sum of squared errors) problem with L1 regularization.Classcom.numericalmethod.suanshu.stats.regression.linear.lassoSuanShu