Timeline for How to plot similarity of two datasets?
Current License: CC BY-SA 3.0
12 events
| when toggle format | what | by | license | comment | |
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| Mar 9, 2018 at 5:23 | comment | added | Aditya |
Oh the fig doesn't belong to you..What I meant is that on zooming the plot a bit, all the original values matches with the expected values nearly and overlap considerably(this can be seen more clearly by setting the aplha values..So I was wondering about the model architecture, Preprocessing and all related stuffs.
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| Mar 9, 2018 at 5:13 | comment | added | terett | @Aditya what do you mean exactly? Please note that the figure is not mine, only the provided values are mine. | |
| Mar 9, 2018 at 4:59 | comment | added | Aditya | From your plot, it seemed that your model is doing amazing work but it seems that it's highly accurate as it's even mapping some of them lying here and there(seperate from the main cluster) Why it's so? | |
| Mar 5, 2018 at 21:44 | vote | accept | terett | ||
| Mar 5, 2018 at 18:50 | answer | added | Aditya | timeline score: 2 | |
| Mar 5, 2018 at 18:31 | answer | added | Marmite Bomber | timeline score: 2 | |
| Mar 5, 2018 at 18:30 | comment | added | terett | @Aditya I goes as much as 11-12 digit numbers. | |
| Mar 5, 2018 at 18:20 | comment | added | Aditya |
Exactly but it seems that it will be depending on max(x), Can you add some more of x or tell us the order of x's
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| Mar 5, 2018 at 18:13 | comment | added | terett |
@Aditya You mean to take logarithm of every element in x array, and take element-wise difference of elements in expected and simulated arrays?
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| Mar 5, 2018 at 18:12 | comment | added | Aditya | Plotting the logarithm of x with the difference between the actual and simulated values will do? | |
| Mar 5, 2018 at 17:49 | review | First posts | |||
| Mar 5, 2018 at 19:27 | |||||
| Mar 5, 2018 at 17:48 | history | asked | terett | CC BY-SA 3.0 |