CoCalc -- control_methods.txt

GitHub Repository: hackassin/Coursera-Machine-Learning
Path: blob/master/Week 2/Octave Tutorial/5. Control & Methods/control_methods.txt
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GNU Octave, version 4.4.1
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Copyright (C) 2018 John W. Eaton and others.
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This is free software; see the source code for copying conditions.
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There is ABSOLUTELY NO WARRANTY; not even for MERCHANTABILITY or
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FITNESS FOR A PARTICULAR PURPOSE.  For details, type 'warranty'.
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Octave was configured for "x86_64-w64-mingw32".
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Additional information about Octave is available at https://www.octave.org.
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Please contribute if you find this software useful.
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For more information, visit https://www.octave.org/get-involved.html
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Read https://www.octave.org/bugs.html to learn how to submit bug reports.
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For information about changes from previous versions, type 'news'.
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octave:1> pwd
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ans = C:\Users\amlan
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octave:2> cd 'C:\Users\amlan\Documents\Git Repos\Machine Learning\Coursera_ML_Andrew\Octave Tutorial\5. Control & Metho
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ds'
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octave:3> squareThosNumber(5)
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error: 'squareThosNumber' undefined near line 1 column 1
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octave:3> squareThisNumber(5)
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ans =  25
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octave:4> X = [1 1;1 2;1 3]
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X =
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   1   1
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   1   2
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   1   3
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octave:5> y =[1; 2; 3]
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y =
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   1
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   2
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   3
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octave:6> theta =[0;1];
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octave:7> theta
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theta =
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   0
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   1
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octave:8> j = costFunction(X, y, theta);
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   1
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   2
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   3
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octave:9> j
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j = 0
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octave:10> j = costFunction(X, y, theta);
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   1
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   2
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   3
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octave:11> j = costFunction(X, y, theta)
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   1
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   2
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   3
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j = 0
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octave:12> X * theta
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ans =
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   1
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   2
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   3
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octave:13> X
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X =
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   1   1
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   1   2
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   1   3
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octave:14> theta = [0;0]
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theta =
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   0
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   0
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octave:15> j = costFunction(X, y, theta)
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   0
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   0
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   0
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j =  21
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octave:16> X * theta
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ans =
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   0
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   0
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   0
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octave:17> j = costFunction(X, y, theta)
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   0
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   0
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   0
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j =  21
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octave:18> y
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y =
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   1
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   2
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   3
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octave:19> theta
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theta =
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   0
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   0
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octave:20> j = costFunction(X, y, theta)
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   0
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   0
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   0
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j =  21
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octave:21> j = costFunction(X, y, theta)
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   0
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   0
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   0
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j =  21
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octave:22> j = costFunction(X, y, theta)
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   0
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   0
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   0
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j =  21
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octave:23> j = costFunction(X, y, theta)
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   0
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   0
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   0
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j =  21
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octave:24> j = costFunction(X, y, theta)
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No. of training examples
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 3
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No. of predictions
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   0
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   0
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   0
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Squared Errors
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sqrErrors
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j =  21
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octave:25> j = costFunction(X, y, theta)
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No. of training examples
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 3
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No. of predictions
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   0
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   0
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   0
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Squared Errors
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   1
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   4
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   9
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j =  21
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octave:26> j = costFunction(X, y, theta)
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parse error near line 16 of file C:\Users\amlan\Documents\Git Repos\Machine Learning\Coursera_ML_Andrew\Octave Tutorial\5. Control & Methods\costFunction.m
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  syntax error
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>>> disp(sum(sqrErrors);
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                       ^
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octave:26> j = costFunction(X, y, theta)
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parse error near line 16 of file C:\Users\amlan\Documents\Git Repos\Machine Learning\Coursera_ML_Andrew\Octave Tutorial\5. Control & Methods\costFunction.m
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  syntax error
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>>> disp(sum(sqrErrors);
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                       ^
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octave:26> j = costFunction(X, y, theta)
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No. of training examples
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 3
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No. of predictions
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   0
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   0
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   0
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Squared Errors
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   1
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   4
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   9
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j =  2.3333
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octave:27>
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