25 lines
671 B
Mathematica
25 lines
671 B
Mathematica
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% implements Param_Est, returns the parameters for each Multivariate Gaussian
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% (m1: learned mean of features for class 1, m2: learned mean of features
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% for class 2, S1: learned covariance matrix for features of class 1,
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% S2: learned covariance matrix for features of class 2)
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function [m1 m2 S1 S2] = Param_Est(training_data, training_labels, part)
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% Parameter estimation for 3 different models described in homework
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if(strcmp(part, '3'))
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% TODO: compute parameters for model 3
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elseif(strcmp(part, '2'))
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% TODO: compute parameters for model 2
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elseif(strcmp(part, '1'))
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% TODO: compute parameters for model 1
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end
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end % Function end
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