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saketkc avatar saketkc commented on May 11, 2024 1

This is partially addressed by #59

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duhaime avatar duhaime commented on May 11, 2024

@sandeeprepakula Do you just want to know the cumulative time consumed during each step of processing? Would it be sufficient to add timestamps in each of the log statements displayed on the console?

Can you say more about your system hardware? How many cores are you running on, and how much RAM do you have? KMeans (the clustering approach we use) is one of the fastest clustering techniques, but if you are out of RAM and are swapping, that will slow things down very quickly.

Do you have access to a machine with beefier hardware, such as a university research cluster or a sizeable AWS instance? If so, the easiest solution might be to leverage one of those hardware setups...

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sandeeprepakula avatar sandeeprepakula commented on May 11, 2024

Yes, I do use AWS for my requirement. Just printing the timestamp would also help into the logs or to the terminal as an stdout.

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duhaime avatar duhaime commented on May 11, 2024

We're now printing timestamps at the start of each step, which should take care of this. If you'd like to revisit this idea, please reopen this issue!

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