predict.svor_exc

Predict method for <code>svor_exc</code> object

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

predict.svor_exc function

<dl><dt>object</dt>
<dd>An object of class <code>svor_exc</code>.</dd>
<dt>new_data</dt>
<dd>A data frame to predict from. This needs to have all of the
features that the data was originally fitted with.</dd>
<dt>type</dt>
<dd>If <code>'class'</code>, return predicted values with threshold of 0 as
-1 or +1. If <code>'raw'</code>, return the raw predicted scores.</dd>
<dt>layer</dt>
<dd>If <code>'bag'</code>, return predictions at the bag level. If
<code>'instance'</code>, return predictions at the instance level.</dd>
<dt>new_bags</dt>
<dd>A character or character vector. Can specify a singular
character that provides the column name for the bag names in <code>new_data</code>
(default <code>'bag_name'</code>). Can also specify a vector of length
<code>nrow(new_data)</code> that has bag name for each row.</dd>
<dt>...</dt>
<dd>Arguments passed to or from other methods.</dd></dl>

Arguments

Author

Predict method for svor_exc object — predict.svor_exc

<dl>

<dt>object</dt>
<dd>An object of class <code>svor_exc</code>.</dd>


<dt>new_data</dt>
<dd>A data frame to predict from. This needs to have all of the
features that the data was originally fitted with.</dd>


<dt>type</dt>
<dd>If <code>'class'</code>, return predicted values with threshold of 0 as
-1 or +1. If <code>'raw'</code>, return the raw predicted scores.</dd>


<dt>layer</dt>
<dd>If <code>'bag'</code>, return predictions at the bag level. If
<code>'instance'</code>, return predictions at the instance level.</dd>


<dt>new_bags</dt>
<dd>A character or character vector. Can specify a singular
character that provides the column name for the bag names in <code>new_data</code>
(default <code>'bag_name'</code>). Can also specify a vector of length
<code>nrow(new_data)</code> that has bag name for each row.</dd>


<dt>...</dt>
<dd>Arguments passed to or from other methods.</dd>

</dl>

predict.svor_exc: Predict method for `svor_exc` object

Description

Usage

Value

Arguments

Author

Details

See Also

Examples