vp_plot_unkn

Makes confusion matrix like plot, where x axis represent SVM classification, y axis represent NN classification
Allows visual summary of data lost to unknown category

An oceanographic data processing package for analyzing and visualizing Video
Plankton Recorder data.  This package was developed at 'Bedford Institute of Oceanography'.
Functions are designed to process automated image classification output and create organized and
easily portable data products.

Emily Chisholm 

vprr

Processing and Visualization of Video Plankton Recorder Data

Emily O'Grady 

Kevin Sorochan dev

Catherine Johnson 

vp_plot_unkn function

<dl><dt>cm</dt>
<dd>dual unknown confusion matrix from VP</dd>
<dt>classes</dt>
<dd>taxa groups in order, from VP</dd>
<dt>threshold</dt>
<dd>minimum value which will be labelled in plot</dd>
<dt>summary</dt>
<dd>logical to add text summary to plot
E. Chisholm May 2019</dd>
<dt>sample_size</dt>
<dd>character string describes the sample size used to train the model being plotted (optional)</dd></dl>

Arguments

Function to visualize losses to unknown category due to disagreement in Dual classifier — vp_plot_unkn

<dl>

<dt>cm</dt>
<dd>dual unknown confusion matrix from VP</dd>


<dt>classes</dt>
<dd>taxa groups in order, from VP</dd>


<dt>threshold</dt>
<dd>minimum value which will be labelled in plot</dd>


<dt>summary</dt>
<dd>logical to add text summary to plot
E. Chisholm May 2019</dd>


<dt>sample_size</dt>
<dd>character string describes the sample size used to train the model being plotted (optional)</dd>

</dl>

vp_plot_unkn: Function to visualize losses to unknown category due to disagreement in Dual classifier

Description

Usage

Arguments