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pad.R
25
pad.R
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# adj = 0, cex = 0.6)
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# points(0, 0, pch = 3)
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# ```
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source("01_intro_code.R")
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source("04_validation_croisee_code.R")
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set.seed(1123)
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n <- 100
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data = gendat(n,0.2)
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splitres <- splitdata(data,0.8)
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entr <- splitres$entr
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test <- splitres$test
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# K11 <- gausskernel(as.matrix(X[splidx,]), sigma2)
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#
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# K21 <- matrix(nrow = n-nspl, ncol = nspl)
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# for(i in 1:(n-nspl))
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# for(j in 1:nspl)
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# K21[i,j] <- sum(X[notsplidx[i],] - X[splidx[j],])^2
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# K21 <- exp(-1*K21/sigma2)
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source("19_nystroem_approximation_code.R")
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krm <- nakrr(entr$X, entr$Y, nspl=15)
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yh <- predict(krm,test$X)
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plt(test,f)
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points(test$X, yh, pch=4)
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# coef2 <- coef[order(strtoi(rownames(coef)))]
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