print.primal

Print the information about the model usage, the parameter path, degree of freedom of the solution path.

Implements a unified framework of parametric simplex method for a variety of sparse learning problems (e.g., Dantzig selector (for linear regression), sparse quantile regression, sparse support vector machines, and compressive sensing) combined with efficient hyper-parameter selection strategies. The core algorithm is implemented in C++ with Eigen3 support for portable high performance linear algebra. For more details about parametric simplex method, see Haotian Pang (2017) <https://papers.nips.cc/paper/6623-parametric-simplex-method-for-sparse-learning.pdf>.

Zichong Li

PRIMAL

Parametric Simplex Method for Sparse Learning

Qianli Shen

print.primal function

<dl><dt>x</dt>
<dd>An object with S3 class <code>"primal"</code>.</dd>
<dt>...</dt>
<dd>System reserved (No specific usage)</dd></dl>

Arguments

Print function for S3 class "primal" — print.primal

<dl>

<dt>x</dt>
<dd>An object with S3 class <code>"primal"</code>.</dd>


<dt>...</dt>
<dd>System reserved (No specific usage)</dd>

</dl>

print.primal: Print function for S3 class "primal"

Description

Usage

Arguments

See Also