.. _method-polynomial_chaos-expansion_order-collocation_ratio-least_absolute_shrinkage: """""""""""""""""""""""" least_absolute_shrinkage """""""""""""""""""""""" Compute the coefficients of a polynomial expansion by using the LASSO problem. .. toctree:: :hidden: :maxdepth: 1 method-polynomial_chaos-expansion_order-collocation_ratio-least_absolute_shrinkage-noise_tolerance method-polynomial_chaos-expansion_order-collocation_ratio-least_absolute_shrinkage-l2_penalty **Specification** - *Alias:* lasso - *Arguments:* None **Child Keywords:** +-------------------------+--------------------+---------------------+-----------------------------------------------+ | Required/Optional | Description of | Dakota Keyword | Dakota Keyword Description | | | Group | | | +=========================+====================+=====================+===============================================+ | Optional | `noise_tolerance`__ | The noise tolerance used when performing | | | | cross validation in the presence of noise or | | | | truncation errors. | +----------------------------------------------+---------------------+-----------------------------------------------+ | Optional | `l2_penalty`__ | The :math:`l_2` pentalty used when performing | | | | compressed sensing with elastic net. | +----------------------------------------------+---------------------+-----------------------------------------------+ .. __: method-polynomial_chaos-expansion_order-collocation_ratio-least_absolute_shrinkage-noise_tolerance.html __ method-polynomial_chaos-expansion_order-collocation_ratio-least_absolute_shrinkage-l2_penalty.html **Description** Compute the coefficients of a polynomial expansion by using the LASSO problem.