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snairgit OP t1_iwlne50 wrote

Reply to comment by jobeta in [P] Thoughts on representing a Real world data by snairgit

Ya this is almost what I did. My doubt is this: for a row, how to put the velocity and time together for a single feature. For eg: row 1 column 1 would be - 1st out of 8 side -> 1st out of 5 values -> velocity, distance. Here how do I represent (velocity, distance)? Do I keep them as a tuple or as separate adjacent features or any other format? This is exactly where I'm stuck.

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et809 t1_iwlp423 wrote

This seems more like a programming question than a machine learning one. It depends on your model implemention. Some frameworks don't even require any further preprocessing. Just leave each individual reading consistently separated in a column of their own. No need to combine velocity and distance manually.

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snairgit OP t1_iwlw27z wrote

Thanks for your input, ya i will try that out. The features do have a relation, that's why I was wondering whether packaging that in the input will make sense or not. I'll do some experiments and see how it turns out.

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