search for: traied

...x[i], if y[i]!=0 # we do not want use loops we do not use apply (not very fast) x <-c(0 ,1,2,3,4,5,6,7,8,NA,NA,1 ,1 ,NA,2 ,2) y <-c(0 ,0,0,1,0,0,0,1,1,1 ,NA,0 ,0 ,0 ,0 ,1) Must_be<-c(1 ,1,1,3,5,5,5,7,8,NA,NA,1.5,1 ,NA,1.5,2) (df<-as.data.frame(cbind(x,y)) ) # I have traied many bad colusions based on cumsum, pmin, pmax, ... (mean_dfx_if_yIs0<-y*cumsum(x*y)/(cumsum(y)*y) ) # how to do this? # thans for any advice # E [[alternative HTML version deleted]]

Hello peaplo. I?m training to establish a domain relationship. The first comand "#net rpc trustdom adm aaa -S bkp -U root%111 -I 192.168.0.1" is working fine. But when a trai to establish with this command: "#net rpc trustdom establish adm -S bkp -U root%111 -I 192.168.0.1" I receive this message: [2006/05/23 18:16:45, 0] utils/net_rpc.c:rpc_trustdom_establish(4632)

...server (chap-secrets file) authenticate against the pdc server (/etc/samba/smbpasswd) on the second. I read that it is possible using winbind, kerberos and pam. I have been making some configurations but I haven't made yet it works. I want to know what is the best way and how to make. I have traied these two links.: 1- Replacing a Windows PPTP server with Linux HOWTO http://poptop.sourceforge.net/dox/replacing-windows-pptp-with-linux-howto.phtml 2- Chapter 23. Winbind: Use of Domain Accounts http://us2.samba.org/samba/docs/man/Samba3-HOWTO/winbind.html but the two show the same error when I...

...>> >> >> x <-c(0 ,1,2,3,4,5,6,7,8,NA,NA,1 ,1 ,NA,2 ,2) >> y <-c(0 ,0,0,1,0,0,0,1,1,1 ,NA,0 ,0 ,0 ,0 ,1) >> Must_be<-c(1 ,1,1,3,5,5,5,7,8,NA,NA,1.5,1 ,NA,1.5,2) >> >> (df<-as.data.frame(cbind(x,y)) ) >> >> # I have traied many bad colusions based on cumsum, pmin, pmax, ... >> (mean_dfx_if_yIs0<-y*cumsum(x*y)/(cumsum(y)*y) ) >> >> # how to do this? >> # thans for any advice >> # E [[alternative HTML version deleted]]

URLS http://rubyforge.org/projects/codeforpeople/ http://codeforpeople.com/lib/ruby/traits INSTALL yes|sudo gem install traits ABOUT traits.rb is set of attr_* like methods on steroids, caffeine, and botox. it encourages better living through meta-programming and uniform access priciples. traits.rb supports smart inheritence of class attributes and a fistful of hooks for

Si nos dices el tipo de problema que estás intentando solucionar y el tamaño del dataset podemos recomendarte algo más. En tu pseudo-código mezclas algoritmos supervisados y no-supervisados. Además de ranger, daría alguna oportunidad a "gbm" o como no a "xgboost". Y éstos los probaría dentro de H2O. Saludos, Carlos Ortega www.qualityexcellence.es El 4 de junio de 2017,

H2O va bien (muy bien) tanto en un ordenador sobremesa/portátil y sobre un clúster. En uno de sobremesa si tienes buena RAM y muchos cores, mejor. Y no tienes porqué usar Spark si no necesitas una solución tiempo real o "near real-time". H2O tiene otra solución para interaccionar con Spark (Sparkling Water). Incluso sobre un clúster, puedes usar "sparklyr" y

?Hola, Puedes ver aquí un ejemplo de cómo comparar varios modelos usando "caret". https://stackoverflow.com/questions/14800021/statistics-of-prediction-for-multiple-models-with-caret O mejor en el propio manual de "caret", en esta sección: https://topepo.github.io/caret/model-training-and-tuning.html#exploring-and-comparing-resampling-distributions Y como recomendación te