plotregression

(To be removed) Plot linear regression

plotregression will be removed in a future release. For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.

For advice on updating your code, see Version History.

Syntax

plotregression(targets,outputs)

plotregression(targs1,outs1,'name1',targs2,outs2,'name2',...)

Description

plotregression(targets,outputs) plots the linear regression of targets relative to outputs.

plotregression(targs1,outs1,'name1',targs2,outs2,'name2',...) generates multiple plots.

Examples

Plot Regression

This example shows how to plot the linear regression of a feedforward net.

[x,t] = simplefit_dataset;
net = feedforwardnet(10);
net = train(net,x,t);

y = net(x);
plotregression(t,y,'Regression')

Input Arguments

targets — Network targets

matrix | cell array

Network targets, specified as a matrix or cell array.

outputs — Network outputs

matrix | cell array

Network outputs, specified as a matrix or cell array.

Version History

Introduced in R2008a

plotregression will be removed

plotregression will be removed in a future release.

To learn more about visualization workflows, see these examples and topics:

• Deep Learning Visualization Methods

• Explore Network Predictions Using Deep Learning Visualization Techniques

• Deep Learning Metrics

• Monitor Deep Learning Training Progress

• ROC Curve and Performance Metrics

For regression workflows, create plots using the plot and scatter scatter functions instead.

For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.