wolffd@0: wolffd@0: wolffd@0: wolffd@0: Netlab Reference Manual demglm1 wolffd@0: wolffd@0: wolffd@0: wolffd@0:

demglm1 wolffd@0:

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wolffd@0: Purpose wolffd@0:

wolffd@0: Demonstrate simple classification using a generalized linear model. wolffd@0: wolffd@0:

wolffd@0: Synopsis wolffd@0:

wolffd@0: 
wolffd@0: demglm1
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wolffd@0: Description wolffd@0:

wolffd@0: wolffd@0: The problem consists of a two dimensional input wolffd@0: matrix data and a vector of classifications t. The data is wolffd@0: generated from two Gaussian clusters, and a generalized linear model wolffd@0: with logistic output is trained using iterative reweighted least squares. wolffd@0: A plot of the data together with the 0.1, 0.5 and 0.9 contour lines wolffd@0: of the conditional probability is generated. wolffd@0: wolffd@0:

wolffd@0: See Also wolffd@0:

wolffd@0: demglm2, glm, glmtrain
wolffd@0: Pages: wolffd@0: Index wolffd@0:
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Copyright (c) Ian T Nabney (1996-9) wolffd@0: wolffd@0: wolffd@0: wolffd@0: