Comments (4)
This is partially addressed by #59
from pix-plot.
@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...
from pix-plot.
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.
from pix-plot.
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!
from pix-plot.
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from pix-plot.