mi_df

<code>mi_df()</code> constructs a data frame that corresponds to Multiple Instance (MI)
data. A <code>mi_df</code> object must have two special columns:<ul>
<li><code>bag_label</code>, determines the label of each bag, typically from <code>c(0, 1)</code></li>
<li><code>bag_name</code>, character or factor that specifies the bag that each sample
belongs to.</li>
</ul>

Weakly supervised (WS), multiple instance (MI) data lives in
numerous interesting applications such as drug discovery, object
detection, and tumor prediction on whole slide images. The 'mildsvm'
package provides an easy way to learn from this data by training
Support Vector Machine (SVM)-based classifiers. It also contains
helpful functions for building and printing multiple instance data
frames. The core methods from 'mildsvm' come from the following
references: Kent and Yu (2024) <doi:10.1214/24-AOAS1876>; Xiao, Liu, and Hao
(2018) <doi:10.1109/TNNLS.2017.2766164>; Muandet et al. (2012)
<https://proceedings.neurips.cc/paper/2012/file/9bf31c7ff062936a96d3c8bd1f8f2ff3-Paper.pdf>;
Chu and Keerthi (2007) <doi:10.1162/neco.2007.19.3.792>; and Andrews
et al. (2003)
<https://papers.nips.cc/paper/2232-support-vector-machines-for-multiple-instance-learning.pdf>.
Many functions use the 'Gurobi' optimization back-end to improve the
optimization problem speed; the 'gurobi' R package and associated
software can be downloaded from <https://www.gurobi.com> after
obtaining a license.

Sean Kent

mildsvm

Multiple-Instance Learning with Support Vector Machines

Yifei Liou

mi_df function

<dl><dt>bag_label</dt>
<dd>A <code>character</code>, <code>factor</code>, or <code>numeric</code> vector.</dd>
<dt>bag_name</dt>
<dd>A <code>character</code> or <code>factor</code> vector.</dd>
<dt>...</dt>
<dd>A set of name-value pairs. These construct the covariates for a
<code>mi_df</code>.</dd>
<dt>instance_label</dt>
<dd>A <code>character</code>, <code>factor</code>, or <code>numeric</code> vector, or
<code>NULL</code>.</dd></dl>

Arguments

Author

Build a multiple instance (MI) data frame — mi_df

<dl>

<dt>bag_label</dt>
<dd>A <code>character</code>, <code>factor</code>, or <code>numeric</code> vector.</dd>


<dt>bag_name</dt>
<dd>A <code>character</code> or <code>factor</code> vector.</dd>


<dt>...</dt>
<dd>A set of name-value pairs. These construct the covariates for a
<code>mi_df</code>.</dd>


<dt>instance_label</dt>
<dd>A <code>character</code>, <code>factor</code>, or <code>numeric</code> vector, or
<code>NULL</code>.</dd>

</dl>

mi_df: Build a multiple instance (MI) data frame

Description

Usage

Value

Arguments

Author

Details

See Also

Examples