Difference between revisions of "Thread:Talk:ScalarBot/Version History/how to build a good test bed?/reply (26)"
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and I’m only doing knn/kde on firing waves. | and I’m only doing knn/kde on firing waves. | ||
− | However it takes me ~10min per generation with only 1500 | + | However it takes me ~10min per generation with only 1500 tcrm battles. |
My population size is also 20, and I’m also using 4 threads. It’s Core i7 with 4 cores at 2.6Ghz, so it should be even faster than i5-2410M which has only 2 cores. | My population size is also 20, and I’m also using 4 threads. It’s Core i7 with 4 cores at 2.6Ghz, so it should be even faster than i5-2410M which has only 2 cores. | ||
Are you reading data and add to tree at the same time, or reading data to memory in one go and add to tree then? | Are you reading data and add to tree at the same time, or reading data to memory in one go and add to tree then? |
Revision as of 03:38, 31 May 2019
I’m doing nearly the same thing now. I write knn data points and gfs to files, so all I do is just:
read data from file; add to tree; knn/kde; count inliers vs outliers. and I’m only doing knn/kde on firing waves.
However it takes me ~10min per generation with only 1500 tcrm battles.
My population size is also 20, and I’m also using 4 threads. It’s Core i7 with 4 cores at 2.6Ghz, so it should be even faster than i5-2410M which has only 2 cores.
Are you reading data and add to tree at the same time, or reading data to memory in one go and add to tree then?