Nothing
## ----setup, include = FALSE----------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ------------------------------------------------------------------------
library(dplyr)
library(tidyr)
library(ggplot2)
library(ggridges)
library(nntrf)
## ------------------------------------------------------------------------
data("doughnut")
plot(doughnut$V1, doughnut$V2, col=doughnut$V3)
## ------------------------------------------------------------------------
head(doughnutRandRotated,5)
## ------------------------------------------------------------------------
data("doughnutRandRotated")
rd <- doughnutRandRotated
rd$V11 <- as.factor(rd$V11)
n <- nrow(rd)
set.seed(0)
training_index <- sample(1:n, round(0.6*n))
train <- rd[training_index,]
test <- rd[-training_index,]
x_train <- train[,-ncol(train)]
y_train <- train[,ncol(train)]
x_test <- test[,-ncol(test)]
y_test <- test[,ncol(test)]
set.seed(0)
outputs <- FNN::knn(x_train, x_test, factor(y_train))
success <- mean(outputs == y_test)
cat(paste0("Success rate of KNN (K=1) with doughnutRandRotated ", success, "\n"))
set.seed(0)
nnpo <- nntrf(formula=V11~.,
data=train,
size=4, maxit=100, trace=FALSE)
# With sigmoid
trf_x_train <- nnpo$trf(x=x_train,use_sigmoid=TRUE)
trf_x_test <- nnpo$trf(x=x_test,use_sigmoid=TRUE)
outputs <- FNN::knn(trf_x_train, trf_x_test, factor(y_train))
success <- mean(outputs == y_test)
cat(paste0("Success rate of KNN (K=1) with doughnutRandRotated transformed by nntrf with Sigmoid ", success, "\n"))
# With no sigmoid
trf_x_train <- nnpo$trf(x=x_train,use_sigmoid=FALSE)
trf_x_test <- nnpo$trf(x=x_test,use_sigmoid=FALSE)
outputs <- FNN::knn(trf_x_train, trf_x_test, factor(y_train))
success <- mean(outputs == y_test)
cat(paste0("Success rate of KNN (K=1) with doughnutRandRotated transformed by nntrf with no sigmoid ", success, "\n"))
## ------------------------------------------------------------------------
plot(trf_x_train[,1], trf_x_train[,2], col=y_train)
## ------------------------------------------------------------------------
set.seed(0)
nnpo <- nntrf(repetitions=5,
formula=V11~.,
data=train,
size=4, maxit=100, trace=FALSE)
trf_x_train <- nnpo$trf(x=x_train,use_sigmoid=FALSE)
trf_x_test <- nnpo$trf(x=x_test,use_sigmoid=FALSE)
outputs <- FNN::knn(trf_x_train, trf_x_test, factor(y_train))
success <- mean(outputs == y_test)
cat(paste0("Success rate of KNN (K=1) with doughnutRandRotated transformed by nntrf ", success, "\n"))
## ------------------------------------------------------------------------
rd <- iris
n <- nrow(rd)
set.seed(0)
training_index <- sample(1:n, round(0.6*n))
train <- rd[training_index,]
test <- rd[-training_index,]
x_train <- as.matrix(train[,-ncol(train)])
y_train <- train[,ncol(train)]
x_test <- as.matrix(test[,-ncol(test)])
y_test <- test[,ncol(test)]
set.seed(0)
outputs <- FNN::knn(x_train, x_test, train$Species)
success <- mean(outputs == test$Species)
cat(paste0("Success rate of KNN (K=1) with iris ", success, "\n"))
set.seed(0)
nnpo <- nntrf(formula = Species~.,
data=train,
size=2, maxit=100, trace=FALSE)
trf_x_train <- nnpo$trf(x=x_train,use_sigmoid=FALSE)
trf_x_test <- nnpo$trf(x=x_test,use_sigmoid=FALSE)
outputs <- FNN::knn(trf_x_train, trf_x_test, train$Species)
success <- mean(outputs == test$Species)
cat(paste0("Success rate of KNN (K=1) with iris transformed by nntrf ", success, "\n"))
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.