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Thanks. On Fri, 16 Aug 2019 at 4:56 PM Chris Aridas <ch...@aridas.eu> wrote: > Hey, > > Apart from encoding you could use feature engineering. Something like this > https://ipgeolocation.io/documentation/ip-geolocation-api.html > Two IPs might have the same country but different city. So, you could mix > and match whatever you want. > > Best, > > On Fri, Aug 16, 2019 at 10:46 AM lampahome <pahome.c...@mirlab.org> wrote: > >> I collect data which has many access log from different IP. >> >> But I don't know what's the better way to encode it to make sure small >> size of train data and keep the independency of different IPs. >> >> 1. one-hot encode: If too many IP, the train data will occupy huge disk >> spaces. >> 2. category encode: IP will be encoded to 0~N, but can't show the >> relation between different IPs. >> >> anyone have advices? >> _______________________________________________ >> scikit-learn mailing list >> scikit-learn@python.org >> https://mail.python.org/mailman/listinfo/scikit-learn >> > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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