refined doc of ch06

chapter03/linPlot.m

@@ -1,7 +1,7 @@
 function linPlot(model, X, t)
 % Plot linear function for 1d data data
 % Input:
-%   model: trained struct
+%   model: trained model structure
 %   X: 1 x n data
 %   t: 1 x n response
 % Written by Mo Chen ([email protected]).

chapter03/linReg.m

@@ -5,7 +5,7 @@
 %   t: 1 x n response
 %   lambda: regularization parameter
 % Output:
-%   model: trained struct used by linPred
+%   model: trained model structure
 % Written by Mo Chen ([email protected]).
 if nargin < 3
     lambda = 0;

chapter03/linRegFp.m

@@ -4,7 +4,7 @@
 %   X: d x n data
 %   t: 1 x n response
 % Output:
-%   model: trained struct used by linPred
+%   model: trained model structure
 %   llh: loglikelihood
 % Written by Mo Chen ([email protected]).
 if nargin < 3

chapter04/binPlot.m

@@ -1,7 +1,7 @@
 function binPlot(model, X, t)
 % Plot binary classification result for 2d data
 % Input:
-%   model: trained struct
+%   model: trained model structure
 %   X: 2 x n data matrix
 %   t: 1 x n label
 % Written by Mo Chen ([email protected]).

chapter04/logitBin.m

@@ -5,7 +5,7 @@
 %   t: 1 x n label (0/1)
 %   lambda: regularization parameter
 % Output:
-%   model: trained model
+%   model: trained model structure
 %   llh: loglikelihood
 % Written by Mo Chen ([email protected]).
 if nargin < 3

chapter04/logitMn.m

@@ -5,7 +5,7 @@
 %   t: 1 x n label (1~k)
 %   lambda: regularization parameter
 % Output:
-%   model: trained model
+%   model: trained model structure
 %   llh: loglikelihood
 % Written by Mo Chen ([email protected]).
 if nargin < 3

chapter06/knKmeans.m

@@ -6,7 +6,7 @@
 % Output:
 %   label: 1 x n clustering result label
 %   energy: optimization target value
-%   model: trained struct, used by predict
+%   model: trained model structure
 % Reference: Kernel Methods for Pattern Analysis
 % by John Shawe-Taylor, Nello Cristianini
 % Written by Mo Chen ([email protected]).

chapter06/knPca.m

@@ -5,7 +5,7 @@
 %   q: target dimension
 %   kn: kernel function
 % Ouput:
-%   model: struct trained, used by predit
+%   model: trained model structure
 % Written by Mo Chen ([email protected]).
 if nargin < 3
     kn = @knGauss;

chapter06/knReg.m

@@ -5,7 +5,7 @@
 %   t: 1 x n response
 %   lambda: regularization parameter
 % Output:
-%   model: trained struct used by linPred
+%   model: trained model structure
 % Written by Mo Chen ([email protected]).
 if nargin < 4
     kn = @knGauss;