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#1
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I guess this question has been asked before, but I am not very clear on it.
I understand calculating the average hypothesis of a constant i.e. taking average of the constant values of differnet hypothesis. But what does calculating average hypothesis of a hypothesis set which consists of lines in y= mx+c mean? How is it calculated ? |
#2
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I read the earlier post on this question once again. The concept is clear to me now
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#3
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I wanted to validate that what I have understood is correct.
1. I calculated the value of "a" for which the which minimizes the least square for two points ( x, sin(pi*x) ), x being between -1 and 1. 2. Repeated the above for 100 times and hence got 100 values of "a" 3. Then I chose a fresh point x3 between [-1, 1] and calculated the value of y3 = a*x3 for all 100 points 4. Calculated average value of y3 for 100 points, say y_avg. 5. Calculated "a" for avg hypothesis as : y_avg/x3 Is my method of calculating avg hypothesis correct ? Iam not very confident of the answer I am getting |
#4
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__________________
Where everyone thinks alike, no one thinks very much |
#5
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Thanks Prof Yaser for the clarification.
So, if understand correctly,since the hypothesis is linear in "a", I can directly take the average of the value "a" in all hypothesis to calculate the average hypothesis; and what I was doing was just equivalent to it. What should be done in a hypothetical case where the value had not been linear in the hypothesis set? |
#6
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__________________
Where everyone thinks alike, no one thinks very much |
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