get_info

internal

Estimates sparse regression models (i.e., with few non-zero coefficients) in high-dimensional multi-task learning and transfer learning settings, as proposed by Rauschenberger et al. (2025) <https://orbilu.uni.lu/handle/10993/63425>.

Armin Rauschenberger

sparselink

Sparse Regression for Related Problems

get_info function

<dl><dt>x</dt>
<dd>list of \(q\) matrices,
with \(n_k\) (samples) rows and \(p\) columns (features),
for \(k\) in \(1,\ldots,q\)</dd>
<dt>y</dt>
<dd>list of \(q\) vectors,
with \(n_k\) entries,
for \(k\) in \(1,\ldots,q\)</dd></dl>

Arguments

Extract dimensionality. — get_info

<dl>

<dt>x</dt>
<dd>list of \(q\) matrices,
with \(n_k\) (samples) rows and \(p\) columns (features),
for \(k\) in \(1,\ldots,q\)</dd>


<dt>y</dt>
<dd>list of \(q\) vectors,
with \(n_k\) entries,
for \(k\) in \(1,\ldots,q\)</dd>

</dl>

get_info: Extract dimensionality.

Description

Usage

Value

Arguments

Examples