📄 glmerr.htm
字号:
<html><head><title>Netlab Reference Manual glmerr</title></head><body><H1> glmerr</H1><h2>Purpose</h2>Evaluate error function for generalized linear model.<p><h2>Synopsis</h2><PRE>e = glmerr(net, x, t)[e, edata, eprior] = glmerr(net, x, t)[e, edata, eprior, y, a] = glmerr(net, x, t)</PRE><p><h2>Description</h2><CODE>e = glmerr(net, x, t)</CODE> takes a generalizedlinear model data structure <CODE>net</CODE> together with a matrix <CODE>x</CODE>of input vectors and a matrix <CODE>t</CODE> of target vectors, and evaluatesthe error function <CODE>e</CODE>. The choice of error function correspondsto the output unit activation function. Each row of <CODE>x</CODE>corresponds to one input vector and each row of <CODE>t</CODE> corresponds toone target vector.<p><CODE>[e, edata, eprior, y, a] = glmerr(net, x, t)</CODE> also returnsthe data and prior components of the total error.<p><CODE>[e, edata, eprior, y, a] = glmerr(net, x)</CODE> also returns a matrix <CODE>y</CODE>giving the outputs of the models and a matrix <CODE>a</CODE> giving the summed inputs to each output unit, where each rowcorresponds to one pattern.<p><h2>See Also</h2><CODE><a href="glm.htm">glm</a></CODE>, <CODE><a href="glmpak.htm">glmpak</a></CODE>, <CODE><a href="glmunpak.htm">glmunpak</a></CODE>, <CODE><a href="glmfwd.htm">glmfwd</a></CODE>, <CODE><a href="glmgrad.htm">glmgrad</a></CODE>, <CODE><a href="glmtrain.htm">glmtrain</a></CODE><hr><b>Pages:</b><a href="index.htm">Index</a><hr><p>Copyright (c) Ian T Nabney (1996-9)</body></html>⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -